Generative AI Developer

About the role

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).

Responsibilities

• Design, build, and deploy end-to-end GenAI solutions and agentic 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.
• 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.
• Document architectural patterns, methodologies, and lessons learned.
• Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
• Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.

Qualifications

• Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
• Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
• Familiarity with security, privacy, and governance practices for enterprise AI solutions.
• Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
• Experience partnering across disciplines in agile delivery environments.
• Understanding application deployment, hosting, and scaling within Azure.

Education and Experience

• Master’s degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
• Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry, would be highly valued.
• Experience developing AI agents in Microsoft Copilot Studio is highly preferred.