Job DescriptionYour OpportunityWe 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- 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.
- Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
- Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.
QualificationsQualifications- 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.
