Senior AI Forward Deployment Engineer

We are seeking a Senior AI Forward Deployment 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. 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. Implement human-in-the-loop controls, approval processes, and appropriate guardrails. 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. Data, Knowledge & Information Architecture Design AI solutions that use structured and unstructured enterprise data. Develop data pipelines, retrieval architectures, metadata, tagging, and information architecture standards that improve relevance and discoverability. 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. 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. Monitor developments in artificial intelligence, agentic AI, legal technology, and enterprise automation. Contribute to the firm's AI strategy and roadmap. Minimum of ten (10) years of experience in software engineering, solutions engineering, automation engineering, data engineering, or a related technical discipline. Minimum of two (2) years of hands-on experience delivering AI, machine learning, intelligent automation, or generative AI solutions. Demonstrated experience building and deploying AI agents and agentic workflows in enterprise environments. AI, Prompting & Quality Expertise Strong knowledge of RAG, semantic search, embeddings, enterprise knowledge retrieval, and human-in-the-loop controls. Experience evaluating and improving AI accuracy, reliability, quality, and business outcomes through grounding, validation, testing, monitoring, and governance. Data & Integration Skills Strong background in data engineering and information architecture across structured and unstructured environments. Knowledge of REST APIs, Microsoft Graph API, JSON, data modeling and transformation, metadata management, enterprise search technologies, and knowledge repositories. Technical Skills ~ Microsoft Copilot, Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Harvey AI, Anthropic Claude, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Model Context Protocol (MCP), Python, JavaScript, or C#. Exceptional analytical, problem-solving, communication, stakeholder management, and relationship-building skills. Ability to influence and engage technical and non-technical audiences. Strong organizational and project management s