Senior AI Forward Deployed Engineer
- Compensation
- Not disclosed
- Location
- Montréal
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 2+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- Minimum of 10 years of experience in software engineering, solutions engineering, automation engineering, data engineering, or a related technical discipline.
- Minimum of 2 years of hands-on experience delivering AI, machine learning, intelligent automation, or generative AI solutions.
- Bilingual, written and verbal communication in both official languages
- Demonstrated experience building and deploying AI agents and agentic workflows in enterprise environments.
- Proven ability to work with business stakeholders and deliver solutions from concept through production.
Full description
The Role
We are seeking a Senior AI Forward Deployed Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize secure, scalable AI solutions that improve productivity, service delivery, and access to firm knowledge.
Working with lawyers, varying business services teams, and technology partners, the successful candidate will translate legal and business needs into practical AI agents, workflow automations, and enterprise integrations. The role combines expertise in agent development, data and retrieval architecture, prompt engineering, and legal technology, with a strong focus on accuracy, governance, privacy, security, and client confidentiality.
The successful candidate will work with approved platforms, including Microsoft Copilot and Harvey AI, to accelerate responsible AI adoption and help shape the future of AI-enabled legal services across the firm.
You will be focusing on: Stakeholder Engagement
- Partner with lawyers and business leaders to identify, assess, and prioritize AI opportunities.
- Lead discovery workshops and solution design sessions, translating business requirements into actionable technical designs.
- Communicate complex concepts clearly and advise stakeholders on AI capabilities, risks, and best practices.
AI Agent Development, Prompt Engineering & Automation
- Design, build, test, and deploy AI agents, copilots, multi-agent workflows, and automation solutions using approved enterprise platforms.
- Create reusable agent templates, prompt libraries, prompting frameworks, and automation patterns.
- Implement human-in-the-loop controls, approval processes, and appropriate guardrails.
- Maintain practical documentation, playbooks, and guidance that support user adoption and effective prompting.
AI Quality, Evaluation & Responsible Use
- Apply grounding, retrieval, validation, citation, testing, and monitoring techniques to improve the accuracy, consistency, and reliability of AI outputs.
- Establish quality standards and evaluation frameworks for production AI solutions.
- Continuously improve solution performance through prompt optimization, architectural enhancements, and user feedback.
- Promote responsible AI practices aligned with firm governance requirements.
Legal Workflow Transformation
- Analyze legal and business workflows and design solutions that reduce manual effort and improve service delivery.
- Develop solutions supporting document drafting, contract review, matter management, legal research, knowledge retrieval, M&A due diligence, and administrative processes.
- Rapidly prototype and deploy high-impact solutions aligned with business needs.