Senior Staff GenAI Engineer

Danaher•Sunnyvale, CA

6d•Onsite

About The Position

The Senior Staff GenAI Engineer leads the design, development, and deployment of scalable, reliable generative AI systems, driving agentic automation and integration to deliver high‑impact, production‑grade solutions across the organization. This position reports to Sr. Director, Biochip Data Science and Digital Solutions and is part of the Data Science and Digital Solutions team located in Sunnyvale, CA and will be an on-site role. In this role, you will have the opportunity to: Architect, implement, and operationalize advanced agentic AI frameworks that autonomously retrieve context, generate insights, and drive automated reporting and decision‑support across research, product, and engineering workflows. Own the full GenAI system lifecycle end‑to‑end, from problem framing and model development to scalable deployment, ensuring systems meet strict requirements for reliability, performance, observability, and long‑term maintainability. Design, build, and fine‑tune GenAI models and services capable of integrating with diverse data sources, APIs, and enterprise applications, enabling seamless multimodal reasoning, retrieval, and intelligent automation. Partner closely with cross‑functional teams, including R&D, product, and engineering, to validate use cases, shape technical strategy, and deliver production‑grade GenAI solutions from ideation through launch. Champion engineering excellence in AI development, driving best practices for experimentation workflows, model governance, evaluation methodologies, safety reviews, monitoring, and ML Ops to ensure high‑quality production-grade solutions.

Requirements

Master’s degree in software engineering, computer science or a similar field with 10+ years of related work experience, OR PhD degree with 8+ years of related work experience.
Strong background in LLMs, GenAI architectures, and agentic systems, with experience in model fine tuning, prompt engineering, and retrieval augmented generation.
Hands-on experience across the technology software stack, including cloud platforms (AWS, Azure), database technologies (SQL Server, PostgreSQL, DynamoDB), and server-side systems (event pipelines, distributed computing and storage), with a strong track record in designing high-performance back-end and front-end services.
Proficiency in Python and modern ML frameworks, experience with agent‑assistant coding frameworks, and strong ability to diagnose and resolve complex technical issues across models, codebases, and distributed systems.
Expertise in using modern automated deployment, CI/CD and test frameworks, with proven experience delivering and operating large‑scale models in production environments.

Responsibilities

Architect, implement, and operationalize advanced agentic AI frameworks that autonomously retrieve context, generate insights, and drive automated reporting and decision‑support across research, product, and engineering workflows.
Own the full GenAI system lifecycle end‑to‑end, from problem framing and model development to scalable deployment, ensuring systems meet strict requirements for reliability, performance, observability, and long‑term maintainability.
Design, build, and fine‑tune GenAI models and services capable of integrating with diverse data sources, APIs, and enterprise applications, enabling seamless multimodal reasoning, retrieval, and intelligent automation.
Partner closely with cross‑functional teams, including R&D, product, and engineering, to validate use cases, shape technical strategy, and deliver production‑grade GenAI solutions from ideation through launch.
Champion engineering excellence in AI development, driving best practices for experimentation workflows, model governance, evaluation methodologies, safety reviews, monitoring, and ML Ops to ensure high‑quality production-grade solutions.