Engineering Manager - AI/ML
First seen by Alion on Oct 27, 2026.
Our Company :
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers - and our customers' customers - to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
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.
Who You'll Work With :
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.
What Makes You a Qualified Candidate :
(Nonnegotiable qualifications)
- 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.
What You'll Bring :
(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 our people are at the heart of our success. We embrace flexible work because we trust our teams to decide how and where they work best. We invest in wellbeing to help employees thrive personally and professionally. We are committed to being an antiracist and inclusive company, fostering an equitable environment where everyone is seen, valued, and celebrated.
Skills
Engineering Management, Distributed Systems, Artificial Intelligence, Machine Learning, Microservices Architecture, System Design, LLM, Agentic AI, Data Modeling, AI Tools, Claude