Manager, AI Engineering

Role overview

Responsibilities

• Drive design, architecture, development, evolution, delivery, and adoption of one or more AI products.
• Lead and develop engineering teams, including Staff and Senior Engineers.
• Shape product vision, technology roadmap, and engineering strategy for AI products.
• Guide technical decisions across coding, architecture, modeling, system design, and operational excellence.
• Partner with Product, Cloud, Architecture, and Customer teams to deliver end-to-end capabilities.
• Champion code quality, documentation, testing, CI/CD, observability, and production excellence.
• Use data-driven processes and feedback loops to improve product quality, performance, and engineering efficiency.
• Build team ownership, innovation, accountability, and technical excellence; stay current with AI/ML and emerging technologies.

Required qualifications

• Bachelor’s degree in Computer Science or equivalent from a recognized institution.
• At least 11 years of experience in large-scale product development, distributed systems, or AI/ML, managing teams and senior engineering talent.
• Strong problem-solving skills and familiarity with AI/ML technologies, 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 modeling, and messaging systems such as Kafka.
• Hands-on Kubernetes, containerization, and modern deployment experience.
• Familiarity with AI productivity tools such as Claude or GitHub Copilot, and UI technologies.
• Ability to navigate ambiguity, collaborate across teams, build alignment, mentor senior engineers, and develop scalable engineering organizations.
• Strong communication and interpersonal skills, and a growth mindset suited to a dynamic, fast-evolving environment.

Work culture

• Teradata states that it offers flexible work, with teams trusted to decide how and where they work best; no specific workplace arrangement is stated for this position.
• The company describes its culture as people-first, inclusive, and focused on employee well-being.