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.
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is C$43888.00/Yearly.
