Sr. Manager, Gen AI Software Engineering
Core
Lead the development of practical, high-impact Generative AI solutions for the Genetic Sciences business, building GenAI-powered applications, assistants, agents, and productivity tools.
Role type
Senior Manager, Applied GenAI Engineering
Builds
GenAI-powered applications, assistants, agents, and productivity tools for scientific knowledge capture, search, reasoning, and application.
Domain
Genetic Sciences / Healthcare / Generative AI
Deliverable
production ML models | product features
Required skills
Hands-on GenAI system building, team leadership, architecture design, LLM integration, RAG implementation, agentic workflows, model fine-tuning, AI evaluation frameworks, Python, deep learning fundamentals, statistics, probability, optimization, transformers, prompt engineering, vector databases.
Preferred skills
Mathematical principles of modern AI systems, turning ambiguous ideas into executable roadmaps, mentoring technical talent, cross-functional collaboration.
Technologies
Python, OpenAI, Anthropic, Gemini, Amazon Bedrock, Azure OpenAI, vector databases, cloud services.
Responsibilities
Lead design, development, evaluation, and deployment of GenAI applications; define secure, scalable AI architectures; build and guide prototypes and production implementations; partner with product teams to define AI use cases; establish practical AI evaluation methods including benchmarks and hallucination reduction; stay current with advances in Generative AI and agentic systems.
Seniority
Senior, hands-on technical leadership