India AI Division Digital India Corporation General Manager Recruitment 2026 – Apply Online for 1 Post
The India AI Division Digital India Corporation General Manager Recruitment 2026 has been officially announced for 1 vacancy in the position of General Manager – Foundational Models. This role is critical for the Digital India Corporation, which aims to drive AI innovation across public and private sectors. Candidates with a B.Tech/B.E. degree and substantial experience in IT project management are invited to apply for this prestigious opportunity. The online application process is open from 12 February 2026 and will close on 26 February 2026.
The India AI Division Recruitment 2026 offers an exciting opportunity for experienced professionals to contribute to India's AI mission. The General Manager will be responsible for overseeing the India AI Innovation Center, ensuring the execution of impactful AI programs, and coordinating with multiple stakeholders for smooth project implementation.
Recruitment Overview
| Organization Name | India AI Division Digital India Corporation |
|---|---|
| Post Name | General Manager – Foundational Models |
| Total Posts | 1 |
| Qualification | B.Tech/B.E. in any discipline |
| Application Mode | Online |
| Last Date | 26 February 2026 |
Vacancy Details
| Post Name | No. of Posts |
|---|---|
| General Manager – Foundational Models | 1 |
Eligibility Criteria
- Educational Qualification: Bachelor of Engineering (B.E.) / Bachelor of Technology (B.Tech.) in any discipline from a recognized University / Institution by UGC/ Govt. of India.
- Experience: Minimum 15 years of experience in managing large programmes, projects, or initiatives, with at least 3 years in handling IT-related projects in Government, PSU, or large public-sector programs.
- Desirable: Familiarity with Government of India rules, regulations, procedures, guidelines, and exposure to technology-led programmes and R&D initiatives.
Age Limit
- Minimum Age: 35 Years
- Maximum Age: 50 Years
- Age relaxation will be applicable as per Government guidelines.
Salary Structure (7th CPC Level)
| Post Name | Pay Level | Basic Pay | Pay Scale | Approx Monthly Salary |
|---|---|---|---|---|
| General Manager | Level 14 | ₹1,44,200 | ₹1,44,200 – ₹2,18,200 | ₹1,44,200 (approx.) |
Selection Process
The selection process for the General Manager – Foundational Models role involves the following steps:
- Screening of applications based on qualifications and relevant experience.
- Shortlisting of candidates for interview.
- Interview process, which includes technical evaluation and discussion on past experience.
- Final selection based on the interview performance and overall evaluation.
Important Dates
| Event | Date |
|---|---|
| Advertisement Date | 12 February 2026 |
| Last Date to Apply | 26 February 2026 |
How to Apply Online
- Visit the official application portal: Digital India Corporation Apply Online
- Register on the application portal.
- Fill out the application form and upload required documents, including photo, signature, and certificates.
- Submit your application before the last date: 26 February 2026.
Important Links
| Link | Action |
|---|---|
| Apply Online | Click Here |
| Official Notification PDF | Click Here |
| Official Website | Click Here |
Frequently Asked Questions (FAQs)
Q1. What is the last date to apply for India AI General Manager Recruitment 2026?
Ans: The last date to apply is 26 February 2026.
Q2. What is the salary for General Manager – Foundational Models?
Ans: The salary is ₹1,44,200 per month (approx.), as per Level 14 of the 7th CPC.
Q3. How can I apply for the Digital India Corporation General Manager role?
Ans: You can apply online through the official Digital India Corporation application portal.
Q4. What are the required qualifications for this post?
Ans: A B.Tech/B.E. degree in any discipline from a recognized university is required, along with 15+ years of relevant experience.
Q5. How is the selection process for the India AI Division General Manager?
Ans: The selection process involves screening applications, shortlisting candidates for interviews, and final selection based on interview performance.
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