Artificial Intelligence Engineer

Ontario, Canada
Remote
Posted Sep 27, 2026
1 position

$140,000–$170,000 / year

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Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead technical discovery and customer workshops, understand enterprise workflows and requirements, and design, build, and deploy production AI solutions. Develop enterprise integrations and implement AI evaluation, guardrails, monitoring, and observability while partnering with Product and Core Engineering to improve platform capabilities.

Job details

Role: Lead Forward Deployed Engineer Location: Vancouver, BC preferred | Ontario, Canada – Remote Type: Full-Time Travel: 15–20% Salary Range: 140k 170k (CAD) We are looking for a Lead Forward Deployed Engineer who combines strong hands-on software engineering with enterprise customer-facing experience. You will work directly with customers to understand their technical challenges, lead discovery, design AI solutions, and build and deploy them into production. Key Responsibilities Lead technical discovery sessions with enterprise customers, architects, engineering, and business teams. Understand customer workflows, data flows, security requirements, and technical challenges. Design, build, and deploy production LLM, RAG, and agentic AI solutions. Develop integrations with enterprise APIs, data sources, ERPs, and document-management systems. Lead architecture reviews, customer workshops, and production onboarding/deployment. Implement evaluation, guardrails, monitoring, and observability for AI systems. Partner with Product and Core Engineering to turn recurring customer needs into platform capabilities. Must-Have Strong production software engineering experience with Python or TypeScript/Node.js. Hands-on experience building and deploying production LLM, RAG, and agentic AI solutions. 3+ years of direct customer-facing technical experience, working with enterprise customers, engineering teams, architects, or business stakeholders. Proven experience leading technical discovery, customer workshops, requirements gathering, and production solution delivery. Ability to understand customer problems, translate them into technical solutions, and personally build and deploy those solutions. Experience with AWS, Azure, or GCP, Docker, databases, and REST/GraphQL APIs. Strong communication and presentation skills. Willingness to travel 15–20%. Nice to Have Computer vision, multimodal AI, or document parsing. Technical drawings, blueprints, scanned documents, or complex document processing. Neo4j, knowledge graphs, or Graph RAG. Multi-agent systems. Industrial, manufacturing, energy, procurement, or enterprise AI experience.

What you’ll do

Requirements

Requires strong production software engineering experience with Python or TypeScript/Node.js and hands-on experience deploying LLM, RAG, and agentic AI solutions. Candidates must have at least three years of customer-facing technical experience, a record of leading discovery and delivering production solutions, cloud and API experience, strong communication skills, and willingness to travel 15–20%.