AI Solution Architect

Role: Lead Forward Deployed Engineer

Location: Vancouver (preferred) or Ontario Canada (Remote)

Duration: Full Time

Day-to-Day Responsibilities:

• Lead technical discovery sessions alongside Account Owners and Product Managers, running deep dives with enterprise IT, engineering, and business leaders to map workflows, data flows, and security requirements.
• Serve as the trusted technical counterpart to enterprise stakeholders, running architecture reviews, addressing security and compliance concerns, and leading customer engineering teams through production onboarding.
• Architect, build, and deploy production AI pipelines tailored to industrial documentation using RAG, structured extraction, and agentic workflows.
• Build and maintain reliable integrations connecting customer data sources, ERPs, and document management systems to the Clients platform.
• Define and implement rigorous evaluation suites, guardrails, and observability to guarantee accuracy and reliability in production customer environments.
• Identify recurring architectural patterns across customer deployments and work directly with core engineering to harden them into platform-level features.

Must-Have Requirements:

• 7+ years of software engineering experience shipping production backend, distributed systems, or applied AI software in Python or TypeScript/Node.js.
• 3+ years in high-touch, customer-facing technical roles (such as Forward Deployed Engineer, Technical Solutions Architect, or Technical Consultant) leading technical discovery and production software delivery for large enterprise accounts.
• Proven track record leading technical conversations with customer VPs, enterprise architects, security leads, and engineering teams.
• Hands-on experience building and deploying production LLM systems, including RAG pipelines, agentic tool use, structured output enforcement, and automated evaluation frameworks.
• Strong production experience with cloud platforms (AWS, Azure, or GCP), Docker, relational/NoSQL databases, and enterprise REST/GraphQL APIs.
• Willingness to travel 15% to 20% for on-site customer discovery, workshops, and production rollouts.

Nice-to-Have Skills:

• Hands-on experience with computer vision and multimodal document parsing (handling complex layouts, tables, scanned schematics, or technical drawings).
• Experience with graph databases (e.g., Neo4j) or knowledge graph approaches for enterprise retrieval.
• Experience designing multi-agent systems or agent swarm architectures for multi-step workflow orchestration.
• Prior experience as an FDE at an enterprise AI or data platform.
• Background working with industrial, manufacturing, energy, or procurement enterprises.

Preferred Qualifications

• Hands-on experience with computer vision and multimodal document parsing (handling complex layouts, tables, scanned schematics, or technical drawings).
• Experience with graph databases (e.g., Neo4j) or knowledge graph approaches for enterprise retrieval.
• Experience designing multi-agent systems or agent swarm architectures for multi-step workflow orchestration.
• Prior experience as an FDE at an enterprise AI or data platform.
• Background working with industrial, manufacturing, energy, or procurement enterprises.