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 solid 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. Data, Knowledge & Information Architecture

Design AI solutions that use structured and unstructured enterprise data. Build Retrieval Augmented Generation (RAG), semantic search, and knowledge retrieval solutions using firm repositories and document management systems. Develop data pipelines, retrieval architectures, metadata, tagging, and information architecture standards that improve relevance and discoverability. Collaborate with Information Governance, Records Management,



and Knowledge Management teams on enterprise search and knowledge initiatives. Enterprise Integration & API Development

Co-develop secure, scalable integrations with IT Middleware engineers using REST APIs, Microsoft Graph API, Model Context Protocol (MCP), web services, webhooks, and enterprise integration platforms. Connect AI solutions with Microsoft 365, legal applications, knowledge management platforms, and other enterprise systems. Security, Governance & Compliance

Ensure solutions meet firm requirements for security, privacy, data protection, regulatory compliance, ethical walls, information barriers, and client confidentiality. Collaborate with Information Security, Risk, Compliance, Legal, and operational application teams to embed required controls. Support AI governance and responsible AI programs. Continuous Innovation

Monitor developments in artificial intelligence, agentic AI, legal technology, and enterprise automation. Evaluate emerging technologies, develop proofs of concept and pilots, and recommend adoption opportunities. Contribute to the firm's AI strategy and roadmap. Required Experience

What you bring to the role

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. AI, Promptin

📌 Senior AI Forward Deployed Engineer (Winnipeg)
🏢 Norton Rose Fulbright
📍 Winnipeg