Danaher Corporation Logo

Danaher Corporation

Senior AI Engineer, Legal

Posted 9 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in IND
Senior level
Remote
Hiring Remotely in IND
Senior level
Designs, builds, and deploys production AI solutions for legal and compliance workflows. Responsibilities include developing LLM, RAG, and agentic applications; creating document processing and evaluation pipelines; implementing security, governance, and audit controls; partnering with legal, IT, and data teams; and mentoring legal users on AI tools. The role requires technical leadership across software engineering, data science, legal operations, and enterprise AI infrastructure.
The summary above was generated by AI

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.

Similar Jobs

One Month Ago
Remote
IND
Senior level
Senior level
Healthtech
Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.
Top Skills: Api DesignAWSAzureClaude CodeCursorDockerGCPGithub CopilotHugging FaceJavaKubernetesLangchainLlamaindexLlmsOcrPineconePythonQdrantRetrieval-Augmented Generation (Rag)TypescriptWeaviate
15 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
Expert/Leader
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Leads Zscaler’s Professional Services sales organization in India, owning bookings quotas, service attach rates, go-to-market strategy, forecasting, and enterprise deal execution. Recruits and develops field Service Sales Managers, partners with enterprise sales and customer success leaders, sponsors complex engagements, and guides multi-phase Statements of Work. The role requires executive-level selling, strategic knowledge of SSE/SASE, SaaS, IaaS, and Zero Trust, plus experience scaling quota-carrying teams in global technology organizations.
Top Skills: Ai ToolsCloud SecurityIaasSaaSSaseSseZero Trust Security
16 Minutes Ago
Easy Apply
Remote or Hybrid
India
Easy Apply
Senior level
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Monitor security alerts, detect and analyze threats, respond to security incidents, assess their scope and impact, and investigate phishing incidents. The role requires experience with SOC operations, SIEM, EDR, IDS/IPS, firewalls, antivirus tools, networks, operating systems, and endpoint fundamentals. Preferred qualifications include AI-assisted threat detection, security scripting, and certifications such as Security+, CISSP, or CISM.
Top Skills: Ai/MlAntivirusCC#ChronicleComputer NetworksCrowdstrike FalconEdrEndpoint SecurityFirewallsIds/IpsOperating SystemsPowershellPythonSIEM

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account