Manager, AI Engineering

Role overview

What you'll do

• Drive design, architecture, development, evolution, delivery, and adoption of AI products.
• Lead and develop high-performing engineering teams, including Staff and Senior Engineers.
• Shape AI product vision, technology roadmaps, and engineering strategy.
• Guide decisions across coding, architecture, modeling, system design, and operational excellence.
• 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 product quality, performance, and engineering efficiency.
• Build a culture of ownership, innovation, accountability, and technical excellence.
• Stay current with emerging technologies and AI/ML advances.

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, including 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 with diverse stakeholders, and drive alignment.
• Experience mentoring senior engineers and building scalable engineering organizations.
• Strong communication skills and ability to explain complex concepts to varied audiences.
• Growth mindset and ability to thrive in dynamic environments.

Workplace approach

• The company describes flexible work and says teams can decide how and where they work best; no specific remote, hybrid, or onsite arrangement is stated for this position.

About Teradata