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structural engineering · water/wastewater treatment

Generative AI Developer

Austin · HybridPosted 5 months ago
Software engineeringUnspecified
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Opens the source posting on hdhl.fa.us6.oraclecloud.com

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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

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.

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