Generative AI Developer

Stantec Consulting International Ltd.; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading engineering firm in Toronto is seeking a Generative AI Developer to architect AI solutions, integrating LLMs and autonomous agents into enterprise deployments. The role involves working with various teams to ensure compliance with governance and security standards. The ideal candidate will have experience with Azure services, containerization, and a deep understanding of generative AI technologies. This position is critical for shaping the organization's AI architecture and driving successful implementations.

Qualifications

• Experience designing and deploying generative AI solutions.
• Strong collaboration with data scientists and engineers for technical standards.
• Ability to evaluate emerging GenAI technologies for business value.

Responsibilities

• Architect end-to-end GenAI solutions focusing on lifecycle management.
• Partner with ML/AI leads to integrate AI services into pipelines.
• Establish governance for model usage and lifecycle management.

Skills

Generative AI solutions architecture

ML/AI integration

Azure services

Containerization and orchestration

Compliance and governance

Technical documentation

Tools

Databricks

Azure DevOps CI/CD

Job description

Generative AI Developer

Your Opportunity

We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec’s Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms.

You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec’s governance, security, and responsible AI principles.

Your Key Responsibilities

• Architect end-to-end GenAI solutions, including model lifecycle management, evaluation, deployment, and monitoring.
• Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
• Act as a technical advisor and reviewer, supporting architectural decisions, code reviews, and design trade-offs.
• Provide architectural guidance for production deployments using Azure-native services, Databricks, and Azure DevOps CI/CD pipelines, ensuring solutions align with enterprise standards.
• Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
• Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
• Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
• Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
• Guide implementation teams through design reviews, technical decision-making, and delivery of best practices.
• Document architectural patterns, methodologies, and lessons learned; contribute to internal knowledge bases and Communities of Practice.
• Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
• Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.