SBI Recruitment 2026: Apply Online for 6 AI Specialist Cadre Officer Posts – Eligibility, Salary Up to ₹1.60 Crore, Selection Process & Last Date

The highest-paying position is General Manager and Chief AI Officer, while the other senior specialist positions offer maximum annual CTC packages ranging from ₹90 lakh to ₹1.20 crore.

The six vacancies cover several strategically important areas:

• Chief-level AI leadership and institutional AI strategy.
• Risk and operational analytics.
• AI governance, compliance and responsible AI.
• Data engineering, model application development and AI operations.
• AI solution architecture.
• Enterprise AI architecture.

These appointments reflect the increasing importance of artificial intelligence in India’s banking industry. Banks are progressively adopting AI-powered systems for fraud detection, customer service, credit assessment, regulatory compliance, predictive analytics, automation and operational efficiency.

For experienced professionals working in technology companies, financial institutions, consulting firms, fintech organisations and enterprise AI divisions, this recruitment provides an opportunity to move into a senior leadership role within India’s largest public-sector bank.

SBI Recruitment 2026 – Overview

Particular	Details
Organisation	State Bank of India
Recruitment name	SBI Specialist Cadre Officers Recruitment 2026
Advertisement number	CRPD/SCO/2026-27/30
Post category	AI Specialist Cadre Officers
Total vacancies	6
Job type	Contractual
Application mode	Online
Application commencement	19 October 2026
Last date to apply	9 November 2026
Selection process	Shortlisting and Interview
Written examination	Not prescribed
Maximum annual CTC	₹1.60 crore
Initial contract period	3 years
Maximum contract period	5 years
Suggested posting	Mumbai
Application fee	₹750 for General/EWS/OBC
SC/ST/PwBD fee	Nil
Official advertisement	CRPD/SCO/2026-27/30

Current recruitment status: Applications are open according to the published notification. Interested candidates should complete registration and fee payment before 9 November 2026.

About State Bank of India (SBI)

The State Bank of India is India’s largest public-sector banking institution and one of the country’s most prominent financial services organisations. Headquartered in Mumbai, Maharashtra, SBI plays a central role in India’s banking ecosystem by providing financial services to individuals, businesses, government institutions, corporate customers and international clients.

History and establishment

SBI has a banking legacy extending back more than two centuries.

Its origins can be traced to the establishment of the Bank of Calcutta on 2 June 1806. The institution was subsequently renamed the Bank of Bengal in 1809. Alongside the Bank of Bombay and Bank of Madras, it formed part of the presidency banking system.

These three banks were amalgamated into the Imperial Bank of India on 27 January 1921.

Following recommendations arising from the All India Rural Credit Survey, the Government of India established the State Bank of India by taking over the Imperial Bank of India. SBI officially came into existence on 1 July 1955.

Over the decades, SBI expanded its operations across India and internationally, becoming a major provider of retail banking, corporate banking, investment services, digital banking and financial products.

Vision, mission and values

SBI’s stated vision is:

“Be the Bank of Choice for a Transforming India.”

Its mission focuses on providing simple, responsive and innovative financial solutions.

The organisation emphasises values such as:

• Service and customer satisfaction.
• Transparency and ethical conduct.
• Professionalism and accountability.
• Sustainability and social responsibility.
• Innovation and technological advancement.

These values are particularly relevant to the AI recruitment because technology professionals working at SBI must develop solutions that are not only technically advanced but also secure, explainable, reliable and suitable for a highly regulated banking environment.

Why is SBI recruiting AI specialists?

Artificial intelligence is becoming increasingly important in modern banking. Financial institutions process enormous volumes of transactions and customer information, making AI-driven systems valuable for identifying suspicious activities, predicting financial risks, automating workflows and improving customer experiences.

SBI’s recruitment of dedicated AI leadership and architecture professionals indicates an emphasis on building and governing enterprise-level AI capabilities.

The selected professionals may contribute to initiatives involving:

1. AI-based fraud detection and prevention.
2. Advanced credit and risk analytics.
3. Generative AI applications for banking operations.
4. Automated customer support and intelligent assistants.
5. Enterprise data platforms and analytics infrastructure.
6. Model governance, monitoring and regulatory compliance.
7. AI-powered operational efficiency and decision-making.

Work culture and career environment

Working at SBI offers exposure to a large institutional environment where technology projects must satisfy stringent requirements relating to security, availability, customer data protection and regulatory compliance.

Unlike a small technology startup, a public-sector bank operates with complex legacy systems, multiple business divisions, large customer databases and extensive operational dependencies.

Candidates should therefore expect an environment requiring:

• Cross-functional collaboration with banking and technology teams.
• Formal project governance and documentation.
• Strong cybersecurity and data protection practices.
• Coordination with senior management and business stakeholders.
• Long-term technology planning.
• Strict operational and regulatory accountability.

This opportunity is especially suitable for professionals who want to combine enterprise technology leadership with large-scale financial services transformation.

Complete SBI Vacancy Details 2026

SBI has announced six vacancies across six different AI-specialist positions. Each position has a distinct area of responsibility, experience requirement and leadership expectation.

All vacancies are reported under the Unreserved category.

Post-wise vacancy distribution

Post name	Vacancies	Minimum age	Maximum age
GM & Chief AI Officer	1	40	55
DGM – Risk and Operational Analytics	1	35	50
DGM – AI Governance and Compliance	1	35	50
DGM – Data Engineering, Model Application Development and AI Ops	1	35	50
AI Solution Architect	1	30	45
Enterprise AI Architect	1	30	45
Total	6

Age is calculated as specified in the official notification, with 30 September 2026 as the cut-off date.

Current job status

Recruitment parameter	Status
Notification released	Published
Online registration	Open
Application acceptance	Yes
Fee payment	Open
Last date	9 November 2026
Interview schedule	Awaited
Written examination	Not prescribed
Final selection	Awaited

The official SBI careers page lists this recruitment under current openings with the registration window from 19 October to 9 November 2026.

Reservation and category details

The six positions are advertised as Unreserved (UR) vacancies.

This means that candidates from different communities may apply, subject to the applicable eligibility conditions. However, candidates seeking any age relaxation or other reserved-category concession must satisfy the specific provisions of the notification.

Candidates should not assume that an unreserved vacancy automatically carries a reserved-category benefit.

Job location

The suggested place of posting is Mumbai. However, the bank reserves the right to post selected professionals elsewhere in India depending on administrative requirements.

Candidates should therefore be prepared for a Mumbai-based appointment as well as possible relocation within the country.

Detailed Job Profile and Key Responsibilities

The six positions cover different levels of AI leadership and technical specialisation. Understanding these differences is important because applicants should select positions that match their actual experience rather than applying solely based on the advertised salary.

A. General Manager and Chief AI Officer

Highest CTC: ₹1.60 crore

The Chief AI Officer is the most senior position in this recruitment drive.

The selected professional will be expected to provide strategic leadership for the bank’s artificial intelligence initiatives and establish a coordinated approach to AI adoption across different business functions.

Key responsibilities may include:

• Developing the organisation’s overall AI strategy.
• Identifying opportunities for AI adoption across banking operations.
• Leading enterprise AI transformation programmes.
• Establishing AI governance and responsible AI practices.
• Overseeing AI research, development and implementation.
• Coordinating with senior executives and business leaders.
• Monitoring the performance and business value of AI investments.
• Establishing technology partnerships and innovation initiatives.
• Ensuring that AI deployments satisfy security and regulatory requirements.

Ideal candidate: A senior technology executive, AI leader, data science head or enterprise digital transformation professional with extensive leadership experience.

B. Deputy General Manager – Risk and Operational Analytics

This position focuses on using advanced analytics and artificial intelligence to strengthen the bank’s risk management and operational decision-making capabilities.

Key responsibilities:

• Developing predictive risk analytics models.
• Improving credit risk assessment methodologies.
• Supporting fraud detection and transaction monitoring.
• Building analytical frameworks for operational risk.
• Identifying unusual patterns in financial transactions.
• Improving model accuracy and reliability.
• Supporting data-driven management decisions.
• Coordinating with risk, compliance and technology teams.

Ideal candidate: An experienced professional in quantitative finance, risk analytics, statistical modelling, machine learning or financial data science.

C. Deputy General Manager – AI Governance and Compliance

AI adoption in banking must be supported by effective governance and compliance frameworks.

This role focuses on ensuring that AI systems are developed, deployed and monitored responsibly.

Key responsibilities:

• Designing AI governance policies.
• Establishing model-risk management frameworks.
• Monitoring AI model performance and reliability.
• Developing procedures for model validation.
• Supporting explainability and transparency.
• Identifying algorithmic bias and other ethical risks.
• Ensuring alignment with applicable regulatory requirements.
• Coordinating audits and compliance assessments.
• Maintaining appropriate AI documentation.

Ideal candidate: A professional with experience in AI governance, technology risk, regulatory compliance, model validation or responsible AI.

D. Deputy General Manager – Data Engineering, Model Application Development and AI Ops

This position is focused on the technical infrastructure required to build, deploy and operate enterprise AI systems.

Key responsibilities:

• Designing scalable data engineering platforms.
• Managing data pipelines and integration systems.
• Supporting machine learning model deployment.
• Establishing MLOps and AI operations processes.
• Monitoring model performance in production.
• Improving infrastructure reliability and scalability.
• Coordinating application development and engineering teams.
• Supporting cloud-based AI environments.
• Managing technical integration across enterprise systems.

Ideal candidate: A senior data engineering, machine learning engineering, platform engineering or MLOps professional.

E. AI Solution Architect

An AI Solution Architect translates business requirements into practical AI-based technology solutions.

Key responsibilities:

• Designing AI solution architectures.
• Identifying suitable AI and machine learning technologies.
• Developing proof-of-concept solutions.
• Integrating AI models with existing applications.
• Evaluating technical feasibility and scalability.
• Supporting digital transformation projects.
• Coordinating with development and infrastructure teams.
• Ensuring solutions meet enterprise security requirements.

Ideal candidate: An experienced AI architect, technical consultant or solution engineering professional.

F. Enterprise AI Architect

The Enterprise AI Architect focuses on designing the overall architecture through which AI technologies can be adopted across a large organisation.

Key responsibilities:

• Developing enterprise AI architecture frameworks.
• Designing scalable AI platforms.
• Establishing architecture standards and principles.
• Integrating AI services with enterprise systems.
• Evaluating cloud and hybrid infrastructure.
• Supporting technology modernisation.
• Defining reusable architecture components.
• Coordinating with enterprise architects and technology leadership.

Ideal candidate: A senior enterprise architect or technology architect with significant experience in enterprise platforms and AI architecture.

Comparison of all six roles

Position	Main professional focus
Chief AI Officer	Strategic AI leadership
DGM – Risk Analytics	Financial and operational risk
DGM – AI Governance	Responsible AI and compliance
DGM – Data Engineering and AI Ops	AI infrastructure and deployment
AI Solution Architect	AI solution design
Enterprise AI Architect	Organisation-wide AI architecture

Eligibility Criteria for SBI AI Specialist Recruitment 2026

The recruitment is intended for experienced professionals. Candidates must carefully examine educational qualifications, relevant work experience, age limits and certification requirements before submitting an application.

Educational qualifications

The notification specifies relevant technical and quantitative educational backgrounds for the different positions.

Accepted qualifications include applicable disciplines such as:

• Computer Science Engineering.
• Information Technology.
• Electronics and Communication Engineering.
• Artificial Intelligence and Machine Learning.
• Data Science.
• Statistics.
• Mathematics.
• Related engineering or technical disciplines.
• MCA and other specified postgraduate qualifications.

The precise accepted degree combinations and certification conditions differ by post. Candidates should match their qualifications against the relevant post-specific provisions rather than assuming that every listed degree is accepted for all six positions.

Experience requirements

Position	Minimum professional experience	Additional leadership/specialist requirement
GM & Chief AI Officer	15 years	3 years in senior leadership
DGM – Risk and Operational Analytics	10 years	2 years in senior leadership
DGM – AI Governance and Compliance	10 years	2 years in senior leadership
DGM – Data Engineering and AI Ops	10 years	2 years in senior leadership
AI Solution Architect	8 years	3 years in AI/analytics solutioning and digital transformation
Enterprise AI Architect	8 years	3 years in enterprise, platform or AI architecture

Important: Experience must be relevant to the advertised role. Merely having the required number of years in an unrelated IT position may not establish eligibility.

Certification requirements

Certain positions also require specific professional certifications.

Examples include:

• AI Solution Architecture certification for the AI Solution Architect position.
• TOGAF and AI Architecture certifications for the Enterprise AI Architect position.

Candidates should verify the accepted certification names and conditions in the notification before applying.

Age limits

Post	Minimum age	Maximum age
GM & Chief AI Officer	40 years	55 years
DGM positions	35 years	50 years
AI Solution Architect	30 years	45 years
Enterprise AI Architect	30 years	45 years

The age cut-off date is 30 September 2026.

Nationality

The recruitment is open to eligible Indian citizens.

Foreign nationals without the required Indian citizenship eligibility should not assume that they can apply simply because they possess the necessary educational qualifications or international work experience.

Physical standards and medical fitness

There is no conventional physical efficiency test or physical measurement examination prescribed for these AI specialist positions.

However, selected candidates must satisfy the bank’s applicable medical fitness requirements.

Important eligibility advice

Before applying, candidates should check:

1. Whether their degree is accepted for the selected position.
2. Whether their experience is relevant to the post.
3. Whether they satisfy the minimum leadership experience.
4. Whether their age falls within the prescribed range.
5. Whether mandatory certifications are available and valid.
6. Whether they can provide documentary evidence of their employment history.

SBI AI Specialist Salary 2026, CTC, Perks and Benefits

One of the biggest attractions of SBI Recruitment 2026 is its high annual CTC package.

Unlike traditional bank recruitment, where salaries are determined by standard pay scales and allowances, these contractual specialist positions offer individually negotiated compensation based on the candidate’s experience, current remuneration and professional suitability.

Post-wise salary structure

Position	Maximum annual CTC
GM & Chief AI Officer	₹160 lakh
DGM – Risk and Operational Analytics	₹120 lakh
DGM – AI Governance and Compliance	₹120 lakh
DGM – Data Engineering and AI Ops	₹120 lakh
AI Solution Architect	₹90 lakh
Enterprise AI Architect	₹90 lakh

These are upper CTC limits, not guaranteed salaries or fixed take-home amounts.

Fixed and variable pay

The notification specifies the following CTC composition:

Component	Percentage
Fixed pay	90%
Variable pay	10%
Maximum annual increment	Up to 5%

For illustration, if a candidate negotiates the maximum ₹160 lakh annual CTC:

• Fixed component: ₹144 lakh.
• Variable component: ₹16 lakh.
• Total annual CTC: ₹160 lakh.

For a ₹120 lakh CTC package:

• Fixed component: ₹108 lakh.
• Variable component: ₹12 lakh.

For a ₹90 lakh CTC package:

• Fixed component: ₹81 lakh.
• Variable component: ₹9 lakh.

Actual payment will depend on the agreed compensation structure and applicable performance conditions.

Other contractual benefits

The recruitment notification provides for an initial three-year contractual engagement, which may be extended by another two years at the bank’s discretion.

Candidates should understand that contractual employment is different from regular SBI officer recruitment.

In particular:

• Appointment is for a fixed term.
• Renewal is not automatic.
• Compensation is negotiated.
• Variable pay is linked to applicable performance conditions.
• Annual increments may be up to 5%.
• Posting may be in Mumbai or elsewhere in India.
• Contract termination is governed by the applicable notice and termination provisions.

Is the salary competitive?

The advertised CTC ceilings are substantial for senior AI and technology professionals.

For experienced candidates currently working in fintech, banking technology, enterprise consulting, analytics and AI product organisations, the opportunity may be attractive because it combines significant compensation with responsibility for large-scale financial technology projects.

However, candidates should compare their existing compensation with the complete SBI offer, including fixed pay, variable pay, benefits, contractual security, relocation requirements and future career prospects.

Career advice: Do not evaluate the offer only by its headline CTC. A ₹1.20 crore package with a strong fixed component and a suitable role may be more attractive than a higher headline package with uncertain variable compensation.

Important Dates – SBI Recruitment 2026

Candidates must keep track of all important dates to avoid missing the registration and payment deadlines.

SBI AI Specialist Recruitment Schedule

Event	Important date
Official notification	October 2026
Online registration begins	19 October 2026
Online application closes	9 November 2026
Last date for fee payment	9 November 2026
Eligibility cut-off	30 September 2026
Shortlisting	To be announced
Interview date	To be announced
Presentation schedule	To be announced
Final result	To be announced

Deadline: 9 November 2026

The online application and fee payment must be completed within the prescribed registration window.

There is no separate written examination date because the notification specifies shortlisting and interview-based selection.

Candidates should regularly visit the official SBI careers page for interview announcements, corrigenda and other recruitment updates.

Selection Process and Interview Pattern

The SBI AI Specialist Officer recruitment process is different from regular SBI PO, Clerk or other competitive bank examinations.

The selection process focuses on professional experience, technical expertise, leadership ability and suitability for the advertised role.

Stage 1: Shortlisting

SBI will scrutinise applications and identify candidates who meet the prescribed educational, experience and other eligibility conditions.

The bank may consider factors such as:

• Relevant professional experience.
• Experience in AI and advanced analytics.
• Senior management responsibilities.
• Technical achievements.
• Educational qualifications.
• Professional certifications.
• Relevance of previous assignments to the advertised role.

Meeting the minimum eligibility criteria does not guarantee an interview call.

Stage 2: Personal Interview

Shortlisted candidates will be invited for a personal interview carrying 100 marks.

The interview is expected to evaluate:

1. Technical knowledge.
2. Understanding of AI applications in banking.
3. Relevant professional experience.
4. Problem-solving capabilities.
5. Leadership and management skills.
6. Communication and presentation abilities.
7. Ability to manage enterprise-scale projects.
8. Awareness of AI governance and regulatory requirements.

Candidates should be prepared to discuss real projects they have implemented, their technical architecture, business impact, challenges and measurable outcomes.

Stage 3: Presentation for senior positions

Candidates applying for the GM and three DGM positions are also required to deliver a 10-minute presentation.

The presentation should cover relevant professional projects and achievements.

A strong presentation should include:

• The business problem.
• The proposed technical solution.
• Architecture and implementation methodology.
• Technologies and platforms used.
• Challenges encountered.
• Measurable results.
• Business value generated.
• Lessons learned.

Candidates should avoid presenting only theoretical AI concepts. The emphasis should be on demonstrable professional achievements.

Stage 4: CTC negotiation

The remuneration will be negotiated individually.

The bank will consider the candidate’s professional background, current compensation, experience and suitability for the role.

Candidates should prepare a realistic compensation expectation supported by their current salary structure and professional achievements.

Stage 5: Final selection

Final selection will be based on the prescribed interview assessment and applicable recruitment conditions.

The notification does not prescribe a conventional written examination or a preliminary and mains examination structure.

Selection process summary

Selection stage	Details
Application screening	Eligibility verification
Shortlisting	Based on prescribed criteria
Written examination	Not prescribed
Personal interview	100 marks
Presentation	10 minutes for GM and DGM posts
CTC negotiation	Individual negotiation
Final selection	As per SBI selection criteria

Is there negative marking?

No negative marking system is prescribed because there is no objective written examination in this recruitment.

Comprehensive Technical Syllabus and Preparation Strategy

Although SBI has not prescribed a conventional examination syllabus, candidates should prepare thoroughly for the technical interview.

The following preparation framework is based on the responsibilities of the six advertised positions. It is a suggested interview-preparation syllabus, not an official SBI examination syllabus.

A. Artificial Intelligence and Machine Learning

Candidates applying for AI leadership and architecture roles should understand the fundamentals and practical implementation of machine learning.

Important topics:

• Supervised learning.
• Unsupervised learning.
• Reinforcement learning.
• Classification and regression.
• Clustering techniques.
• Decision trees and random forests.
• Gradient boosting.
• Neural networks.
• Deep learning.
• Natural Language Processing.
• Computer vision.
• Model evaluation and validation.
• Feature engineering.
• Overfitting and underfitting.
• Model explainability.

Preparation tip: Be ready to explain how machine learning can improve credit scoring, fraud detection, transaction monitoring and customer segmentation.

B. Generative AI and Large Language Models

Generative AI is particularly relevant to enterprise banking applications.

Important topics:

• Large Language Models (LLMs).
• Transformer architecture.
• Prompt engineering.
• Retrieval-Augmented Generation (RAG).
• Vector databases.
• Embeddings.
• Fine-tuning.
• AI agents and agentic workflows.
• Hallucination prevention.
• LLM evaluation.
• Model deployment.
• Enterprise AI security.

Candidates should understand the limitations of generative AI, especially where financial decisions and customer information are involved.

C. Data Engineering and Big Data

This section is particularly important for the DGM – Data Engineering and AI Ops position.

Important topics:

• SQL and advanced database concepts.
• Data warehousing.
• Data lakes and lakehouses.
• ETL and ELT pipelines.
• Apache Spark.
• Apache Kafka.
• Batch and streaming data processing.
• Data integration.
• Data quality management.
• Metadata management.
• Data lineage.
• Distributed computing.
• Database performance optimisation.

Interview preparation: Be prepared to explain how you would design a scalable banking data platform that processes high volumes of transaction information.

D. MLOps and AI Operations

Candidates must understand the complete machine learning lifecycle.

Important topics:

• Model training and deployment.
• Model versioning.
• CI/CD pipelines.
• Model monitoring.
• Model drift.
• Performance tracking.
• Automated retraining.
• Containerisation.
• Docker.
• Kubernetes.
• Cloud infrastructure.
• API integration.
• Production incident management.

A strong candidate should be able to explain how an AI model can be moved from experimentation into a secure production environment.

E. AI Governance and Responsible AI

This is especially important for the DGM – AI Governance and Compliance position.

Important topics:

• AI governance frameworks.
• Model-risk management.
• Responsible AI.
• Algorithmic bias.
• Fairness and transparency.
• Explainable AI.
• Model validation.
• Audit trails.
• Data privacy.
• AI security.
• Regulatory compliance.
• Third-party AI risk.
• Human oversight.

Candidates should also understand the relevance of India’s Digital Personal Data Protection Act, 2023 and applicable banking and technology regulations.

F. Banking Risk and Financial Analytics

For the DGM – Risk and Operational Analytics position, banking-specific knowledge is particularly important.

Topics include:

• Credit risk.
• Market risk.
• Operational risk.
• Liquidity risk.
• Fraud analytics.
• Anti-money laundering concepts.
• Transaction monitoring.
• Customer risk profiling.
• Predictive risk modelling.
• Statistical analysis.
• Financial forecasting.
• Anomaly detection.

Candidates should understand how AI models can improve risk identification while maintaining explainability and appropriate human oversight.

G. Enterprise Architecture

For the Enterprise AI Architect and AI Solution Architect positions, the following subjects are important:

• Enterprise architecture principles.
• TOGAF framework.
• Application architecture.
• Data architecture.
• Cloud architecture.
• Microservices.
• API management.
• Enterprise integration.
• Hybrid infrastructure.
• Security architecture.
• Scalability and resilience.
• Architecture governance.

Role-specific preparation priorities

Position	Highest-priority preparation areas
Chief AI Officer	AI strategy, leadership, governance and enterprise transformation
DGM – Risk Analytics	Financial risk, predictive modelling and fraud analytics
DGM – AI Governance	Responsible AI, compliance, model validation and privacy
DGM – Data Engineering	Big data, MLOps, data architecture and cloud
AI Solution Architect	AI solution design, integration and deployment
Enterprise AI Architect	TOGAF, enterprise architecture and scalable AI platforms

Practical interview preparation plan

Days 1–3: Review your professional experience

Prepare a detailed record of your major projects, technical responsibilities, achievements and measurable business outcomes.

Days 4–5: Revise technical fundamentals

Focus on the AI, machine learning, architecture and data engineering topics relevant to your selected post.

Days 6–7: Study banking applications

Understand how AI is used in fraud prevention, credit risk, customer service, transaction monitoring and regulatory reporting.

Days 8–9: Prepare governance and security concepts

Revise model validation, data privacy, responsible AI, cybersecurity and technology risk management.

Days 10–11: Prepare leadership examples

Develop examples demonstrating team management, project execution, stakeholder engagement and handling complex technical challenges.

Days 12–13: Prepare your presentation

For eligible GM and DGM applicants, prepare a concise 10-minute presentation showcasing professional achievements.

Day 14: Conduct a mock interview

Practise answering technical, managerial and scenario-based questions.

Sample interview questions

1. How would you develop an enterprise AI strategy for a large public-sector bank?
2. How can machine learning improve fraud detection?
3. What is the difference between traditional machine learning and generative AI?
4. How would you prevent hallucinations in an enterprise banking LLM?
5. Explain the purpose of Retrieval-Augmented Generation.
6. What are the biggest risks associated with deploying AI in banking?
7. How would you monitor model drift in production?
8. What is the importance of explainable AI in credit decision-making?
9. How would you design a scalable data architecture for millions of transactions?
10. How would you measure the business value of an AI transformation programme?

Important preparation advice: Experienced professionals should focus on real-world implementation, architecture decisions, business impact and leadership experience rather than preparing as if they were appearing for a fresher-level competitive examination.

SBI Recruitment 2026 Application Fee and Payment Mode

Candidates must pay the prescribed application fee according to their category.

Category-wise application fee

Category	Application fee
General	₹750
OBC	₹750
EWS	₹750
SC	Nil
ST	Nil
PwBD	Nil

Payment methods

The application fee can be paid through the online payment facilities available on the SBI recruitment portal, including:

• Debit card.
• Credit card.
• Internet banking.
• UPI.

Candidates should retain the payment confirmation and application receipt for future reference.

Important: The application fee, once paid, is generally non-refundable and cannot be adjusted against another recruitment application.

Step-by-Step Guide to Apply Online for SBI Recruitment 2026

Eligible candidates must submit their applications through the official SBI recruitment portal. Applications submitted through email, postal correspondence or unofficial websites will not be accepted as substitutes for the prescribed online application.

Step 1: Visit the official SBI careers website

Open the official SBI careers portal:

https://sbi.bank.in/web/careers/current-openings1

Locate the notification titled:

Engagement of Specialist Cadre Officers on Fixed Term Employment Basis – Advertisement No. CRPD/SCO/2026-27/30.

Step 2: Read the official notification

Download and carefully examine the recruitment advertisement.

Check the following:

• Post-specific educational qualifications.
• Minimum experience requirements.
• Age limits.
• Mandatory professional certifications.
• Job responsibilities.
• Salary and contractual conditions.
• Application fee.
• Document upload requirements.

Candidates should select the position that best matches their professional qualifications and experience.

Step 3: Register online

Open the application link and complete the initial registration.

Provide the required details, including:

• Candidate’s full name.
• Mobile number.
• Email address.
• Basic personal information.

After successful registration, the portal will generate login credentials or registration details as applicable.

Keep these details secure.

Step 4: Complete the application form

Log in to the application portal and enter the required information.

The form may require:

• Personal details.
• Educational qualifications.
• Professional experience.
• Current employment information.
• Previous employment details.
• Relevant technical certifications.
• Other declarations.

Ensure that the information is consistent with your supporting documents.

Step 5: Upload the photograph and signature

Prepare your photograph and signature according to the specifications.

Document	File size	Preferred dimensions
Photograph	20–50 KB	200 × 230 pixels
Signature	10–20 KB	140 × 60 pixels

Use a clear photograph with a plain background and ensure that the signature is readable.

Step 6: Upload the resume and supporting documents

Prepare the documents in the required PDF format.

Important documents include:

1. Updated resume.
2. Prescribed biodata.
3. Educational qualification certificates.
4. Professional experience certificates.
5. Date-of-birth proof.
6. Identity proof.
7. Professional certification documents.
8. Current employment and salary-related documents, wherever required.
9. Any other supporting documents specified in the application instructions.

The notification specifies PDF upload limits for the resume and supporting certificates. Candidates should follow the individual portal field instructions rather than assuming that all documents have identical file-size limits.

Step 7: Complete the application fee payment

Candidates belonging to General, OBC and EWS categories must pay ₹750.

SC, ST and PwBD candidates are exempted from the application fee.

Use the payment options available on the official portal and wait for successful payment confirmation.

Step 8: Preview the application

Before final submission, carefully verify:

• Name and personal information.
• Selected post.
• Date of birth.
• Educational qualifications.
• Work experience.
• Contact details.
• Uploaded documents.
• Payment status.

Errors in professional experience or qualifications can create problems during document verification.

Step 9: Submit the application

After verifying all details, complete the final submission.

Download or print the submitted application form and payment receipt.

Keep a copy for interview preparation and future correspondence.

Step 10: Monitor recruitment updates

After submission, regularly visit the SBI careers portal.

Check for:

• Shortlisting announcements.
• Interview call letters.
• Presentation instructions.
• Document verification schedules.
• CTC negotiation instructions.
• Final selection announcements.

Application checklist

• Read the official recruitment notification.
• Verify post-wise educational eligibility.
• Confirm the required professional experience.
• Check the age cut-off.
• Prepare an updated resume.
• Complete the prescribed biodata.
• Scan photograph and signature.
• Arrange educational certificates.
• Arrange experience certificates.
• Upload the documents in the specified formats.
• Pay the application fee, if applicable.
• Submit the final application.
• Save the application and payment receipts.

Final application deadline: 9 November 2026.

Official Notification, Apply Online Link and Important Websites

Candidates should use only the official SBI recruitment website for registration and application submission.

The following links are important for SBI Recruitment 2026.

Purpose	Official link
Official notification PDF	Download SBI Notification
Direct online application	Apply Online
SBI current openings	View Current Openings
SBI official website	Visit SBI

Important instructions regarding official links

• Download the notification before applying.
• Verify that the advertisement number is CRPD/SCO/2026-27/30.
• Ensure that the application page corresponds to the AI Specialist recruitment.
• Do not share login credentials or payment information with third parties.
• Avoid unofficial websites claiming guaranteed selection or interview calls.

Conclusion – Should You Apply for SBI Recruitment 2026?

The SBI AI Specialist Cadre Officer Recruitment 2026 is a significant opportunity for experienced professionals seeking senior-level careers in artificial intelligence, machine learning, banking analytics and enterprise technology.

With only six vacancies, the competition is likely to be highly specialised. Unlike conventional bank recruitment, where candidates compete through large-scale written examinations, this recruitment prioritises relevant professional experience, technical expertise, leadership capabilities and the ability to deliver measurable business outcomes.

The opportunity is particularly attractive because of its remuneration structure, with annual CTC ceilings of ₹1.60 crore for the Chief AI Officer, ₹1.20 crore for the DGM positions and ₹90 lakh for the architect positions.

However, candidates must carefully evaluate the contractual nature of the appointment, experience requirements, certification conditions and individual compensation negotiations before applying.

Who should seriously consider applying?

This recruitment is particularly suitable for:

• Senior AI and machine learning professionals.
• Technology executives and Chief Technology Officers.
• Banking risk and analytics specialists.
• Data engineering and MLOps leaders.
• AI governance and compliance professionals.
• Enterprise and solution architects.
• Experienced professionals working in fintech and financial technology companies.

Final recommendations for candidates

1. Apply for the right position: Select a role that matches your actual experience and professional specialisation.
2. Prepare your experience documents: Ensure that every employment claim can be supported by documentary evidence.
3. Focus on practical achievements: Demonstrate measurable business impact rather than relying only on technical qualifications.
4. Prepare for leadership interviews: Senior positions require strategic thinking, communication and stakeholder management.
5. Understand the CTC structure: Evaluate fixed pay, variable pay and contractual conditions before negotiating.
6. Apply before the deadline: Complete registration and payment by 9 November 2026.

Final application date: 9 November 2026

Final verdict: If you have substantial experience in AI, machine learning, enterprise architecture, risk analytics or banking technology, SBI Recruitment 2026 deserves serious consideration. It offers the opportunity to work on large-scale financial technology transformation while taking on responsibilities that can influence the future of AI adoption in India’s banking sector.

Do not miss the opportunity if you meet the eligibility requirements. Read the official notification carefully, prepare your documents and submit your application through the authorised SBI recruitment portal.

Apply Online: SBI AI Specialist Recruitment 2026

Official References and Verification Sources

The following official sources should be used for recruitment-related verification:

1. State Bank of India Careers – Current Openings.
   Careers
2. SBI – Official Recruitment Notification PDF.
3. SBI – Online Application Portal.
4. SBI – About the Organisation and History.
   About Us
5. SBI – Official Corporate Website.

Disclaimer: This article is an informational recruitment guide. The official SBI advertisement, subsequent corrigenda and instructions displayed on the application portal shall prevail in case of any discrepancy. Salary figures are maximum CTC limits and do not represent guaranteed take-home pay.

 

Frequently Asked Questions (FAQs)

Q1. How many vacancies are available under SBI Recruitment 2026?

SBI has announced six vacancies for AI Specialist Cadre Officers under Advertisement No. CRPD/SCO/2026-27/30. The vacancies include one Chief AI Officer, three Deputy General Manager positions, one AI Solution Architect and one Enterprise AI Architect.

Q2. What is the last date to apply for SBI AI Specialist Recruitment 2026?

The last date for online registration and application fee payment is 9 November 2026. Candidates should complete their applications before the deadline rather than waiting until the final day.

Q3. What is the highest salary offered under SBI Recruitment 2026?

The maximum annual CTC is ₹1.60 crore for the GM and Chief AI Officer position. The DGM positions offer up to ₹1.20 crore, while the two architect positions offer up to ₹90 lakh annually.

These figures represent upper CTC limits and are subject to individual negotiation.

Q4. Is SBI AI Specialist Recruitment 2026 permanent or contractual?

The positions are offered on a fixed-term contractual basis. The initial engagement period is three years and may be extended for another two years at the bank’s discretion, making the maximum possible tenure five years.

This is not regular permanent SBI officer recruitment.

Q5. Is there a written examination for SBI AI Specialist Officer Recruitment?

No conventional written examination is prescribed for this recruitment. The selection process involves shortlisting and a personal interview. Candidates for the GM and three DGM positions must also deliver a 10-minute presentation.

Q6. What is the educational qualification required for SBI AI Specialist posts?

Candidates need relevant technical or quantitative educational qualifications, depending on the position. Accepted qualifications include applicable engineering degrees, computer science, IT, AI, data science, statistics and MCA qualifications.

Some positions also require specific professional certifications. Candidates must verify the exact post-wise conditions in the official notification.

Q7. What is the age limit for SBI AI Specialist Recruitment 2026?

The age limits differ according to the post:

• GM & Chief AI Officer: 40–55 years.
• DGM positions: 35–50 years.
• AI Solution Architect: 30–45 years.
• Enterprise AI Architect: 30–45 years.

The age is calculated as of 30 September 2026.

Q8. What is the application fee for SBI Recruitment 2026?

The application fee is ₹750 for General, OBC and EWS candidates. SC, ST and PwBD candidates are exempted from paying the fee.

Q9. Can freshers apply for SBI AI Specialist Officer vacancies?

No. These positions are intended for experienced professionals. Depending on the post, applicants need approximately 8–15 years of relevant professional experience, along with additional specialist or leadership experience.

Fresh graduates and entry-level IT professionals will generally not satisfy these requirements.

Q10. Where will selected candidates be posted?

Mumbai is the suggested posting location. However, SBI may post selected professionals elsewhere in India depending on administrative requirements. Candidates should be prepared for possible relocation.

Q11. Are all six SBI AI Specialist vacancies reserved for the General category?

The advertised vacancy distribution shows all six posts under the Unreserved category. Candidates from different communities can apply if they satisfy the applicable eligibility conditions. Reserved-category concessions should not be assumed for these unreserved vacancies.

Q12. What documents are required to apply for SBI AI Specialist Recruitment?

Candidates should prepare their photograph, signature, resume, prescribed biodata, educational certificates, professional experience certificates, identity proof, age proof and relevant professional certifications.

All documents must satisfy the upload specifications in the official notification and application portal.

Q13. Is the Chief AI Officer position suitable for an experienced IT manager?

Not necessarily. The position is intended for a senior AI and technology professional with substantial relevant experience and leadership exposure. General IT management experience without appropriate AI strategy, implementation or leadership experience may not be sufficient.

Q14. How can candidates download the SBI AI Specialist Recruitment notification?

Candidates can download the official advertisement from the SBI careers website or directly through this link:

Download Official SBI Recruitment 2026 Notification PDF

Q15. How can candidates apply online for SBI Recruitment 2026?

Eligible candidates can visit the official SBI application portal, register, complete the application form, upload the required documents, pay the applicable fee and submit their application.

Click here to access the SBI online application portal.