Bring more to life.
At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.
Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher Business System which makes everything possible.
The Senior AI Engineer Legal is responsible for designing, building, and deploying AI-powered solutions that transform legal and compliance workflows across Danaher's corporate and platform functions and operating companies. This role sits at the intersection of software engineering, data science, and legal operations — applying deep technical expertise in large language models (LLMs), agentic AI, and modern AI infrastructure to solve high-impact legal problems at enterprise scale.
In this role, you will have the opportunity to:
Partner with legal stakeholders to translate workflows into technical solutions — Conduct discovery with attorneys and compliance professionals across Danaher to understand their workflows, identify automation opportunities, and deliver solutions that legal teams trust and adopt.
Architect and build AI-powered legal applications. Design end-to-end solutions for contract review, legal research, regulatory analysis, and compliance workflows using LLMs, retrieval-augmented generation (RAG), and agentic AI frameworks. Develop and optimize document processing pipelines. Build scalable ingestion, parsing, chunking, embedding, and indexing systems for legal content (contracts, playbooks, regulatory filings) to power intelligent search and analysis.
Ship production-grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain, LlamaIndex), and CI/CD pipelines — from prototype through deployment and monitoring. Design evaluation and quality framework. Build automated evaluation pipelines, test sets, and quality metrics specific to legal AI outputs, ensuring accuracy, consistency, and defensibility of AI-generated work product.
Embed governance and security by design — Implement data security controls, access management, audit logging, PII redaction, and data residency compliance appropriate for applications handling privileged and confidential legal content. Apply product thinking to legal AI solutions — Understand user needs through discovery and feedback, translate them into clear product and technical requirements, and help prioritize features that drive adoption and measurable business value.
Technical leadership and mentorship - Lead, educate and mentor legal team members in developing no-code AI solutions. Serve as the technical bridge between legal and engineering. Communicate clearly across disciplines, deliver demos and training to legal users, and channel user insights back into product development and roadmap priorities. Partner closely with IT, Data & AI teams to design, build, and deliver scalable AI solutions aligned with enterprise architecture and governance standards.
The essential requirements of the job include:
Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (Master's or advanced degree is a plus). 10+ years of professional experience in software engineering, data science, or machine learning engineering, with a track record of shipping production applications.
Production experience with large language models (LLMs), including prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks. Strong programming proficiency in Python, with experience in AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face, or equivalent orchestration tools); proficiency in an additional language (TypeScript, Java) is a plus.
AI‑Assisted Software Development – Demonstrated proficiency leveraging AI development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate software solution development in production environments. Hands-on experience with modern AI infrastructure, including vector databases (e.g., Pinecone, Weaviate, Qdrant), cloud platforms (Azure, AWS, or GCP), API design, and containerized deployment (Docker, Kubernetes).
Experience designing data pipelines and document processing systems for unstructured content at scale (parsing, OCR, entity extraction, classification).
Demonstrated interest or experience in legal, compliance, or regulatory domains — e.g., prior work in legal tech, contract analytics, regulatory technology, legal operations, paralegal experience, law school coursework, or JD.
It would be a plus if you also possess previous experience in:
Building or deploying AI solutions in regulated industries (life sciences, healthcare, financial services, legal).
Agentic AI patterns — multi-step autonomous workflows with human-in-the-loop oversight, tool calling, MCP servers, and structured outputs.
Enterprise AI governance and responsible AI practices, including model evaluation, bias testing, explainability, and compliance with frameworks such as the EU AI Act.
Travel, Motor Vehicle Record & Physical/Environment Requirements:
10-25% travel for meetings and conferences
Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
Skills Required
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- 10+ years of professional experience in software engineering, data science, or machine learning engineering, including shipping production applications.
- Production experience with LLMs, prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks.
- Strong programming proficiency in Python and experience with AI/ML libraries and orchestration frameworks such as LangChain or LlamaIndex.
- Experience leveraging AI-assisted software development tools such as Claude Code, Cursor, or GitHub Copilot in production environments.
- Experience with vector databases, cloud platforms, API design, and containerized deployment using Docker or Kubernetes.
- Experience designing data pipelines and document processing systems for unstructured content at scale, including parsing, OCR, entity extraction, or classification.
- Interest or experience in legal, compliance, or regulatory domains, such as legal technology, contract analytics, regulatory technology, legal operations, paralegal work, law school coursework, or a JD.
- Master’s or advanced degree in a related technical field.
- Proficiency in an additional programming language such as TypeScript or Java.
- Experience building or deploying AI solutions in regulated industries.
- Experience with agentic AI patterns, human-in-the-loop oversight, tool calling, MCP servers, and structured outputs.
- Experience with enterprise AI governance, responsible AI, model evaluation, bias testing, explainability, or EU AI Act compliance.
Danaher Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Danaher Corporation and has not been reviewed or approved by Danaher Corporation.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical plan options alongside dental, vision, life, disability, and mental health support. Wellness initiatives and support programs such as an EAP and vaccination or fitness offerings add breadth beyond core insurance.
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Retirement Support — Retirement benefits include a 401(k) plan with employer matching and options such as pre-tax and Roth contributions. Broader financial rewards such as performance bonuses and access to equity or an employee stock purchase plan are also described.
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Parental & Family Support — Parental leave and family-building support are described as available, including maternity and paternity leave and fertility assistance. Childcare and eldercare support are also highlighted as part of the overall package.
Danaher Corporation Insights
What We Do
Danaher is a global science and technology innovator committed to helping our customers solve complex challenges and improve quality of life around the world. A global network of more than 25 operating companies, we drive meaningful innovation in some of today’s most dynamic industries through our operating companies in four strategic platforms: Life Sciences, Diagnostics, Water Quality and Product Identification. The engine at the heart of our success is the Danaher Business System (DBS), a set of tools that enables continuous improvement around lean, growth and leadership. Through the ingenuity of our people, the power of DBS and the impact of our meaningful technologies, we help realize life’s potential in ourselves and for those we serve.
