Leading the design, analysis, implementation, and integration of AI model serving solutions.
Designing and standardizing serving architectures for AI and GenAI use cases.
Defining and implementing safe rollout and rollback strategies.
Driving performance, scalability, and cost optimization.
Establishing and reviewing runtime resilience patterns.
Providing technical leadership and coaching through design and code reviews.
Developing and reviewing performance, load, resiliency, and cost test plans.
Ensuring operational readiness for production launches.
Participating in architecture, operational readiness, and security reviews.
Collaborating with Platform, MLOps, Reliability, Security, Data, and Product teams.

A Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
Strong experience delivering production-grade software systems.
Expertise in Python development.
Experience with containerized, microservice-based architectures.
Strong understanding of API design and versioning.
Experience with AWS.
Knowledge of CI/CD pipelines and DevOps practices.
Experience mentoring engineers and leading technical initiatives.

Lead AI Engineer

Key skills