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Added 4 mins ago
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Norton Rose Fulbright

Senior AI Forward Deployment Engineer

Toronto, ON, Canada

Pay: Salary Range: $143,000-$194,000 Toronto
Job type: Full-time
Posting language: English
Posted: Sep 20, 2026

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Original job description

The Role

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.

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.

What you bring to the role:

Required Experience

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.
Proven ability to work with business stakeholders and deliver solutions from concept through production.

AI, Prompting & Quality Expertise

Deep understanding of agent architectures, orchestration frameworks, multi-agent workflows, and automation platforms.
Strong knowledge of RAG, semantic search, embeddings, enterprise knowledge retrieval, and human-in-the-loop controls.
Expert-level prompt engineering skills, including reusable prompt frameworks, libraries, standards, and end-user enablement.
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.
Experience designing scalable integrations using APIs and services.
Knowledge of REST APIs, Microsoft Graph API, JSON, data modeling and transformation, metadata management, enterprise search technologies, and knowledge repositories.

Technical Skills

Experience with one or more of the following: 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#.

Professional Competencies

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 skills, with the ability to manage sensitive information and competing priorities.
Ability to work independently and collaboratively across teams, with strong attention to detail and a commitment to continuous improvement.

Success in this role will be measured by:

Adoption and measurable business impact of production-ready AI solutions and automations.
Improvements in productivity, user experience, manual effort, and process cycle times.
Accuracy, reliability, trustworthiness, and continuous improvement of AI outputs.
Effectiveness of prompt standards, documentation, and user enablement.
Compliance with governance, security, privacy, ethical wall, and client confidentiality requirements.
Contribution to the firm's AI strategy, roadmap, and innovation agenda.

Why join our team:

Hybrid work environment
Retirement savings plan with employer contribution
Benefit premiums paid by the firm
Telemedicine services
Wellness matters: Flexible health and wellness allowance that covers much more than gym memberships!
Training and development programs based on your interests and needs

Salary Range: $143,000-$194,000 Toronto

The salary bands provided reflect the typical range for this role in the region indicated. We recognize that each candidate brings a unique set of experiences and skills, and final compensation will be thoughtfully determined based on individual qualifications and current market factors. Please note that salary will be discussed and negotiated during interview.


Toronto: $0 - $0

Ready to join a proactive and modern firm that provides an exceptional career experience in an inclusive and collaborative environment? Come join us!

As part of a global legal practice, Norton Rose Fulbright Canada embrace a culture of excellence and client service, but always with a focus on flexibility, respect, diversity and openness. We strive to create an equitable, inclusive environment where everyone can bring their whole self to work and realize their career potential.

To find out more about how we integrate diversity, equity and inclusion in everything we do please click Diversity, equity and inclusion | Canada | Global law firm | Norton Rose Fulbright.

If you require any reasonable adjustments during the recruiting process, please inform us in the recruitment application. We will contact you to further discuss your need.

Please note that applicants who receive an employment offer may be required during their employment with Norton Rose Fulbright to provide proof of vaccinations recommended from time to time by government or public health authorities. Norton Rose Fulbright has a duty to accommodate those who are unable to get vaccinated due to protected grounds. For applicants who require an accommodation, please contact us to discuss further.

Law around the world
nortonrosefulbright.com

Please note that this job posting is being advertised to fill an existing vacancy.

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More about this job

Responsibilities

Design, build, and deploy scalable AI agents and automation solutions to improve legal service delivery and productivity. Collaborate with stakeholders to identify AI opportunities and ensure solutions meet security, governance, and privacy standards.

Requirements

Requires a minimum of ten years of experience in software or solutions engineering with at least two years of hands-on experience in AI and machine learning. Candidates must possess deep expertise in agent architectures, prompt engineering, and enterprise data integration.

Skills

AI Agent Development
Prompt Engineering
Python
JavaScript
C#
Retrieval Augmented Generation
Semantic Search
Microsoft Copilot
Harvey AI
Azure AI Foundry
LangChain
Data Engineering
API Development
Stakeholder Management
Automation Engineering
Information Architecture

Benefits

Retirement savings plan
Telemedicine services
Health and wellness allowance
Training and development programs

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Generative AI
Agentic AI
Automation
RAG
Semantic Search
Microsoft Copilot
Harvey AI
Azure OpenAI
LangChain
LangGraph
Semantic Kernel
CrewAI
AutoGen
Python
JavaScript
C#
REST APIs
Microsoft Graph API
JSON
Data Modeling
Metadata Management
Enterprise Search
Legal Technology
Information Governance
Prompt Engineering
Model Context Protocol
Software Engineering
Solutions Engineering

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