Lead AI Engineer

Lead design, analysis, implementation, and integration of AI model serving solutions for production-grade AI and Generative AI use cases.

Drive performance, scalability, cost optimization, and operational readiness including rollout and rollback strategies, resilience patterns, and security reviews.

Provide technical leadership and mentorship through design/code reviews and collaboration with cross-functional teams (Platform, MLOps, Security, Data, Product).

Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.

Strong experience delivering production-grade software systems, specifically with Python development.

Experience with containerized, microservice-based architectures, API design/versioning, AWS, CI/CD pipelines, and DevOps practices.

Experience mentoring engineers and leading technical initiatives; Work Experience Required: Not explicitly mentioned in the JD.

Experienced in leading AI serving architecture design and production deployment in complex environments with cross-team collaboration.

Demonstrates expertise in performance optimization, scalability, cost control, and operational resilience for AI services.

Technically proficient in Python and cloud-native development, with a leadership style centered on coaching and enforcing engineering standards.