Senior AI Engineer, Legal - Canada Remote

Senior AI Engineer, Legal - Canada Remote

Full-Time 10 - 25 £ / hour (est.) Working from home possible
D

At a Glance

  • Tasks: Design and deploy AI solutions to transform legal workflows at Danaher.
  • Company: Join Danaher, a leading science and technology company committed to innovation.
  • Benefits: Enjoy competitive salary, remote work options, and comprehensive benefits.
  • Other info: Flexible remote work and opportunities for professional growth.
  • Why this job: Make a real impact in the legal tech space while advancing your career.
  • Qualifications: 5+ years in software engineering or data science with AI expertise.

The predicted salary is between 10 - 25 £ per hour.

This job is with Danaher, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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 Legal Engineer 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.
  • 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).
  • 5+ 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.

The annual salary range OR the hourly range for this role is $150K-$180K CAD. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay.

We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

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.

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to access our website, and as applicable participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Senior AI Engineer, Legal - Canada Remote employer: Danaher

Cytiva is an exceptional employer that fosters a culture of belonging and innovation, where your unique perspective is valued. With a commitment to employee growth and development, you will have the opportunity to lead impactful projects in life sciences while enjoying comprehensive benefits and a supportive work environment. Located across multiple strategic sites, including Puerto Rico and the UK, Cytiva offers a dynamic workplace that prioritises safety, quality, and continuous improvement, making it an ideal place for those looking to make a meaningful difference in human health.

D

Contact Details:

Danaher Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer, Legal - Canada Remote

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Danaher or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Danaher.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Danaher.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Danaher that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior AI Engineer, Legal - Canada Remote

Large Language Models (LLMs)
Python Programming
TypeScript Programming
AI/ML Libraries and Frameworks
Data Pipeline Design
Document Processing Systems
Cloud Platforms (Azure, AWS, GCP)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Danaher.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Danaher and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Danaher

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Danaher uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.