Responsibilities
- Conduct discovery with attorneys and compliance professionals to identify legal workflow automation opportunities and translate them into technical solutions.
- Architect and build AI applications for contract review, legal research, regulatory analysis, and compliance workflows.
- Develop scalable document ingestion, parsing, OCR, chunking, embedding, indexing, and processing pipelines for unstructured legal content.
- Ship and monitor production AI features using LLM APIs, orchestration frameworks, and deployment pipelines.
- Build evaluation frameworks, test sets, quality metrics, and automated evaluation pipelines for legal AI outputs.
- Implement data security controls, access management, audit logging, PII redaction, and data residency compliance.
- Translate legal user needs into product and technical requirements and help prioritize roadmap features.
- Lead, educate, and mentor legal team members in developing no-code AI solutions; deliver demos and training.
- Partner with IT and Data & AI teams on scalable AI solutions aligned with enterprise architecture and governance standards.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field; a Master's or advanced degree is a plus.
- At least 5 years of professional experience in software engineering, data science, or machine learning engineering with a record of shipping production applications.
- Production experience with LLMs, prompt engineering, fine-tuning, RAG architecture, agent and tool-use development, and evaluation frameworks.
- Strong Python programming skills and experience with AI/ML libraries and frameworks such as LangChain, LlamaIndex, or Hugging Face; TypeScript or Java experience is a plus.
- Experience using AI development tools such as Claude Code, Cursor, or GitHub Copilot in production software development.
- Experience with vector databases such as Pinecone, Weaviate, or Qdrant; cloud platforms such as Azure, AWS, or GCP; API design; Docker; and Kubernetes.
- Experience designing data pipelines and document-processing systems for unstructured content at scale, including parsing, OCR, entity extraction, and classification.
- Interest or experience in legal, compliance, or regulatory domains, including legal technology, contract analytics, regulatory technology, legal operations, paralegal work, law school coursework, or a JD.
- Experience deploying AI solutions in regulated industries is a plus.
- Experience with agentic AI patterns, human-in-the-loop oversight, tool calling, MCP servers, and structured outputs is a plus.
- Experience with enterprise AI governance, responsible AI, model evaluation, bias testing, explainability, and frameworks such as the EU AI Act is a plus.
- Willingness to travel 10–25% for meetings and conferences.
Benefits
- Remote work arrangement from home in Canada.
- Comprehensive benefits package including paid time off, medical, dental, and vision insurance, and 401(k) for eligible employees.
- Eligibility for bonus or incentive pay.
- Annual salary range of $150K–$180K CAD.
- Flexible working arrangements for eligible roles.
Categories
About Danaher
Danaher is a leading global life sciences and diagnostics innovator, committed to accelerating the power of science and technology to improve human health. We partner with customers around the world to accelerate breakthroughs from idea to impact, moving with the speed and certainty they need to advance life‑changing science. By working side‑by‑side with researchers, scientists, and clinicians, we solve their hardest problems—together, bringing the right expertise, technologies, and partners from across our portfolio to architect the most effective solutions. Through our connected ecosystem of companies operating at global scale, we help customers streamline and integrate their workflows across Life Sciences, Diagnostics, Biotechnology, and beyond—empowering them to achieve results faster, with greater confidence.