Solution Engineer II (AI/ML lead)

Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines.

Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement.

Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations.

Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment.

Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design.

Respond to client RFQs and provide robust technical proposals and solution architectures.

Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery.

Demonstrates expert-level depth across machine learning, system integration, and model optimization.

Mentors ML teams with minimal supervision.

Defines best practices for AI model lifecycle management and process improvements.

Solves complex problems by combining innovative and existing methods to deliver production-grade AI solutions.

Represents the level at which career may stabilize for many years or even until retirement