Salary
≈ $32k – $80k per year (Estimated)
Location
In office (Bengaluru)
Experience
11+ years exp
Employment
Full-Time
First seen by Alion on Sep 28, 2026.
Overview
Company
Impact
Profile match
Teradata provides a massively parallel analytics database and cloud data platform. Its systems have long served the largest enterprise data warehouses in retail and banking. The company now focuses on hybrid cloud analytics deployments.
Backed by Icon Ventures, Voyager Capital
- Our Company
What You'll Do
As a Manager, AI Engineering, you will lead Teradata's highly visible, next generation AI products. In this role, you will:
- Be highly hands-on and drive the design, architecture, development, evolution, delivery and adoption of one or more AI products.
- Lead and develop high performing engineering teams including Staff and Senior Engineers.
- Shape the product vision, technology roadmap, and engineering strategy for AI products.
- Be deeply involved in technical decision making, providing guidance across coding, architecture, modelling, system design, and operational excellence.
- Collaborate with cross-functional partners across Product, Cloud, Architecture, and Customer teams to deliver high impact, end-to-end capabilities.
- Champion best practices across the software development lifecycle, including code quality, documentation, testing, CI/CD, observability, and production excellence.
- Establish data-driven processes and feedback loops to continuously improve product quality, performance, and engineering efficiency.
- Build and sustain a culture of ownership, innovation, high accountability, and technical excellence across your teams.
- Stay current with emerging technologies, AI/ML advancements, and industry best practices to ensure long-term product and organizational success.
You will work closely with engineering teams, product leaders, AI/ML experts, cloud architects, and customer facing teams across Teradata. This role reports to a senior technology leader and plays a critical part in defining Teradata's future in AI driven enterprise solutions.
(Nonnegotiable Qualifications)
What Makes You a Qualified Candidate
- Bachelor's degree in Computer Science or equivalent from a recognized institution.
- 11+ years of experience in large scale product development, distributed systems, or AI/ML, managing teams and senior engineering talent.
- Strong problem solving skills, familiarity with AI/ML technologies, including LLMs and agentic AI systems.
- Expertise in microservices development, RESTful APIs, cloud technologies, SDLC, CI/CD, observability and production operations.
- Experience building high quality products in fast-paced technology environments.
(Preferred qualifications)
- Proficiency with data stores (SQL/NoSQL), data modelling, and messaging systems such as Kafka.
- Hands-on experience with Kubernetes, containerization, and modern deployment practices.
- Familiarity with AI productivity tools such as Claude or GitHub Copilot, and UI technologies.
- Strong ability to navigate ambiguity, collaborate with diverse stakeholders, and drive alignment across teams.
- Demonstrated ability to mentor senior engineers, foster healthy team dynamics, and build scalable engineering organizations.
- Excellent communication and interpersonal skills, with the ability to articulate complex concepts to varied audiences.
- A growth mindset and ability to thrive in dynamic, fast evolving environments while continuously raising the bar.
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
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