GenAI Developer 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 supports a growing portfolio of AI initiatives across the organization, focusing on scalable, secure, well‑governed solutions such as LLM‑powered agents, multi‑agent systems, retrieval‑augmented generation (RAG), and intelligent automation platforms. 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. Qualifications Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms. Hands‑on experience 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 of application deployment, hosting, and scaling within Azure. Education & Experience Master’s degree or higher 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, highly valued. Experience developing AI agents in Microsoft Copilot Studio highly preferred. Pay Range Locations in Lower Mainland - BC, GTA & Ottawa Ontario: $94,600.00 - $137,100.00 annually. Benefits Summary Regular full‑time and part‑time employees (working at least 20 hours per week) will have access to health, dental, and vision plans, a wellness program, health‑care spending account, wellness spending account, group registered retirement savings plan, employee stock purchase program, group tax‑free savings account, life and accidental death & dismemberment (AD&D) insurance, short‑term/long‑term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage, and paid time off. Temporary/casual employees will have access to group registered retirement savings plan, employee stock purchase program, and group tax‑free savings account. Benefits may not apply to union positions as governed by collective bargaining agreements. #J-18808-Ljbffr