Tech Stack

Description

You will set technical direction for AI/ML solutions and mentor engineers across levels, building scalable and reliable AI systems in production. Your work directly supports GenAI use cases in healthcare, driving automation and decision workflows.

Requirements

• 8-10 years of experience in data engineering and architecture roles, with 2+ years in an engineering leadership role
• Strong experience leading ML/AI engineering efforts from concept through production in fast-moving organizations
• Exposure to Databricks, Mosaic AI Gateway, and related Data + AI technologies
• Working knowledge of RAG architectures, SQL Agents, and MCP
• Strong analytical and problem-solving skills, with the ability to translate complex problems into clear execution plans
• Proven ability to mentor and coach less-experienced engineers, providing technical guidance, feedback, and growth support across complex AI initiatives
• Acts as a technical mentor across teams, elevating engineering quality by developing junior engineers and modeling best practices in AI system design and delivery

Responsibilities

• Lead architecture, design, and implementation of AI/ML systems from concept to production
• Define technical standards, best practices, and AI engineering patterns across teams
• Translate complex business problems into scalable AI solutions
• Guide model development, evaluation, deployment, and lifecycle management
• Partner with Product and Engineering leaders on AI strategy and roadmap
• Mentor senior and junior engineers; raise overall technical maturity
• Ensure responsible AI practices, security, privacy, and compliance
• Evaluate emerging technologies and drive innovation initiatives