Manager, AI Engineering

About Teradata

Role overview

What you’ll do

• Lead design, architecture, development, delivery, and adoption of AI products.
• Lead and develop engineering teams, including Staff and Senior Engineers, and shape product vision, technology roadmaps, and engineering strategy.
• Guide coding, architecture, modelling, system design, and operational decisions.
• Collaborate across Product, Cloud, Architecture, and Customer teams to deliver end-to-end capabilities.
• Promote code quality, documentation, testing, CI/CD, observability, and production excellence.
• Use data-driven processes and feedback loops to improve quality, performance, and engineering efficiency; foster ownership and technical excellence.
• Stay current with AI/ML advances and industry practices.

Nonnegotiable qualifications

• Bachelor’s degree in Computer Science or equivalent from a recognized institution.
• 11+ years in large-scale product development, distributed systems, or AI/ML, managing teams and senior engineering talent.
• Problem-solving skills and familiarity with AI/ML, including LLMs and agentic AI systems.
• Expertise in microservices, 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 SQL/NoSQL data stores, 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.
• Ability to navigate ambiguity, collaborate across stakeholders, and drive alignment.
• Experience mentoring senior engineers and building scalable engineering organizations.
• Strong communication skills, growth mindset, and ability to thrive in changing environments.

Work culture

• Teradata describes its work as flexible, with teams trusted to decide how and where they work best.