Manager, AI Engineering
Teradata (company site, opens in a new tab)11+ yrsBengaluruHybridDirect career pageEst. 45–70 LPA
Posted on 27 Sept
Reach people at Teradata
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Teradata you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, architecture, development, delivery and adoption of AI products with hands-on engineering involvement.
- Manage and develop high performing engineering teams including senior technical staff.
- Shape product vision, technology roadmap, engineering strategy, and drive best practices in SDLC and operational excellence.
Minimum Requirements
- Bachelor’s degree in Computer Science or equivalent.
- 11+ years in large scale product development, distributed systems, or AI/ML with team management experience.
- Expertise in AI/ML technologies including LLMs and agentic AI systems, microservices, RESTful APIs, cloud technologies, CI/CD, and production operations.
- Work Experience Required: 11+ years
Ideal Candidate Profile
- Experienced in managing and mentoring senior engineers in fast-paced tech environments with scalable engineering organizations.
- Strategic leadership in AI product engineering, capable of collaborating cross-functionally and driving alignment across diverse teams.
- Hands-on technologist with strong problem solving and deep familiarity with AI/ML advancements, cloud, and modern deployment practices.