IIMB Manager Enterprise AI Recruitment 2026

IIMB is hiring for the Manager Enterprise AI role on a contractual, non-teaching basis in Bengaluru. You need a Bachelor's degree in Computer Science, Data Science, AI/ML, Engineering, or a related field; a Master's degree or AI/ML certification is preferred. The indicative pay is Rs. 14.02 lakhs per annum, which is about Rs. 1,16,833 per month, plus additional benefits. Apply online before 20 June 2026.

IIMB Manager Enterprise AI Recruitment 2026

Indian Institute of Management Bangalore (IIMB), an Institute of National Importance under the IIM Act, has released notification for a Manager Enterprise AI role in the higher education sector. This is a contractual non-teaching position for experienced professionals who can guide AI strategy, governance, project delivery, and model lifecycle management across the institute. The key attraction is a senior AI leadership role at IIM Bangalore with a stated annual CTC of Rs. 14.02 lakhs.

This role is not a routine IT support post. IIMB wants someone who can connect AI strategy with real institutional use cases, lead cross-functional teams, set quality checks for AI models, and keep AI systems useful after deployment. If your background combines AI/ML delivery, IT administration, governance, cybersecurity awareness, and stakeholder communication, this notification is worth checking carefully.

Role Focus

• AI strategy: Build and execute an enterprise-wide AI roadmap aligned with IIMB's goals.
• Governance: Create policies for model lifecycle, compliance, ethics, quality, and security.
• Delivery: Lead AI/ML solution planning, development, deployment, timelines, budgets, and risks.
• Monitoring: Track model accuracy, fairness, drift, false positives, false negatives, and operating performance.
• Adoption: Improve workflows through automation, AI agents, and workforce AI literacy.

Who Can Apply?

Educational Qualification

• Basic qualification: You need a Bachelor's degree in Computer Science, Data Science, AI/ML, Engineering, or a related field.
• Preferred qualification: A Master's degree or certification in AI/ML is preferred.

Experience Needed

• Total experience: IIMB asks for at least 10 years of professional experience.
• AI experience: Your experience should include at least 5 years of hands-on work in Artificial Intelligence.
• IT administration: You should also have at least 5 years of experience in IT infrastructure, systems, networks, cybersecurity, and enterprise applications.
• Flexible placement: Candidates with less than 10 years of relevant experience may also apply, and the institute may place them in a suitable position.
• Leadership profile: Experience in enterprise-level AI initiatives and cross-functional team leadership will help you fit this role.

Skill Profile

• Technical skills: AI/ML algorithms, MLOps, data engineering, automation, and AI model deployment.
• Governance skills: AI ethics, regulatory compliance, model monitoring, data-quality standards, and safe AI development.
• People skills: Communication, leadership, stakeholder management, and the ability to explain technical insights in business language.

Salary

• Indicative CTC: Rs. 14.02 lakhs per annum.
• Monthly equivalent: Around Rs. 1,16,833 per month for structured salary fields.
• Benefits: Additional benefits are mentioned in the notification, and final pay depends on the selected candidate's profile.
• Contract renewal: The contract can be renewed based on satisfactory performance.

Selection Process

IIMB has not announced a written exam for this role. The notification says only shortlisted candidates will be informed, so selection is expected to move through shortlisting and interview or interaction by the institute.

1. Application Screening: IIMB will check your qualification, AI/ML experience, IT administration exposure, and leadership background.
2. Shortlisting: Only shortlisted candidates will be contacted by the institute.
3. Interview / Interaction: Shortlisted applicants may be assessed on AI strategy, governance, MLOps, data quality, model monitoring, stakeholder management, and project delivery.
4. Document Verification: You must upload the required certificates and experience documents while applying online.

There is no exam pattern in the notification because IIMB has not declared any written test. Keep your AI project examples, governance work, IT administration record, and leadership experience ready in a clear format before the interview stage.

How to Apply

1. Open the IIMB Careers application page for Manager Enterprise AI.
2. Use the online application form on the iimb.ac.in linked careers portal.
3. Fill in every required field carefully because incomplete applications will not be considered.
4. Upload your 10th and 12th marksheets, graduation documents, post-graduation documents if applicable, experience letters, recent payslips or income proof, and training certificates if any.
5. Review the form and submit it online before 20 June 2026.

Apply early if you need time to collect semester-wise marksheets, income proof, and experience letters. The notification clearly says applications without required documents will be treated as incomplete, so document upload quality matters as much as the form itself.

Documents to Upload

• School documents: 10th and 12th marksheets.
• Graduation documents: Semester-wise marksheets and final degree certificate.
• Post-graduation documents: Semester-wise marksheets and final certificate, if applicable.
• Work proof: All experience letters.
• Income proof: Recent 3 months' payslips or 3 months' income proof.
• Training proof: Training certificates, if you have any.

Important Dates

• Notification Date: 4 June 2026
• Application Start: 5 June 2026
• Last Date to Apply: 20 June 2026
• Interview Date: To be announced

• Lead enterprise-wide AI strategy and align it with institutional goals
• Set AI governance rules, model lifecycle policies, and compliance processes
• Manage AI/ML project planning, delivery timelines, budgets, and risks
• Monitor model quality, fairness, drift, and operational performance
• Work with data engineers, product managers, IT teams, and senior stakeholders
• Guide responsible AI adoption, workforce AI literacy, and process automation