With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions. As an AI Developer (LLM & Agentic Systems), you will design and develop AI-enabled applications and intelligent systems used in client-facing projects, supporting decision‑making across mining, resources, infrastructure, and environmental domains. You will build next‑generation AI applications that combine Large Language Models (LLMs), structured data, and domain knowledge to enable advanced reasoning and support complex engineering and operational decisions.This rolecan be based anywhere in Canada and plays a key part in advancing our AI‑enabled platforms, internal tooling, and next‑generation data solutions.

Design, build, and maintain scalable full‑stack applications that integrate advanced AI and data capabilities. Develop backend APIs and cloud‑native components that support scalable data and analytics workflows. Integrate LLMs, agentic workflows, and NLP techniques (e.Contribute to the design and evolution of knowledge‑based and data‑driven platforms.

Develop and integrate data pipelines and knowledge‑driven components (e.structured data, semantic layers, or knowledge graphs) into applications. Collaborate closely with analytics, data science, knowledge engineering, and digital product teams. Support CI/CD, Git workflows, and DevOps automation.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline. 5+ years of professional software development experience, including 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments. Demonstrated experience designing end‑to‑end AI architectures, including data ingestion, retrieval,



reasoning layers, and user‑facing applications. Hands‑on experience with embeddings, vector search, and RAG pipelines, including performance optimization and retrieval quality improvements.

Proven ability to design and build scalable backend systems and APIs (Python – FastAPI preferred, or Node.Js), including microservices architectures.

Experience integrating structured and unstructured data into scalable AI applications.

Experience applying NLP techniques (e.Strong experience with cloud‑native development (Azure preferred), including deployment, monitoring, and cost/performance optimization.

Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi‑setting deployments (dev, UAT, production).

Experience with knowledge graphs and graph query languages (e.SPARQL, Cypher), microservices, Docker/Kubernetes, ETL pipelines, or engineering‑heavy data environments. We exist to shape communities to advance humanity. A global community of brilliant minds – Whether it’s across the country or around the globe, we help you tailor your role to match your ambition — because your growth drives ours.

Adaptable work, real balance – NB, NL, NS, PEI & QC: $The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills,



seniority, geographic location, performance, and business or organizational needs.

Make Your

Mark with WSPIf you’re ready to shape the future of AI‑enabled platforms and build digital tools that make a real impact, we’d love to hear from you. WSP, we exist to shape communities to advance humanity. It’s why we bring people together who are wired to solve complex challenges - engineers, scientists, advisors, and technical experts who are driven by a common passion - to redefine what’s possible and shape what comes next.

As one of the world’s leading professional services firms, we partner with clients across transportation, infrastructure, environment, buildings, energy, water, mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting, positive impact. WSP, you’ll join a community of brilliant minds that push boundaries every day - applying deep expertise and fuelling innovation to help create a more connected and resilient future.

Given the importance of keeping one another safe it is expected that you comply with our Health, Safety & Environment (HSE) policy at all times as well as client HSE policies when working at client locations. Some safety‑sensitive positions involve fieldwork and may include work in a variety of environmental conditions, such as remote or isolated areas, working alone, and in inclement weather (within safe and reasonable limits).WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.WSP is committed to the principles of employment equity.

📌 Ai Developer (Winnipeg)
🏢 WSP Global
📍 Winnipeg