Forward Deployed Engineer (AI Practice)

4 months ago

Toronto, CanadaMid Level

Responsibilities

Lead technical discovery workshops and translate operational workflows into AI agent solution architectures.
Design and build production-ready Anthropic Claude agent workflows, Claude Skills, and MCP integrations.
Write Python or Node.js for data pipelines, transformation logic, webhooks, API wrappers, and backend components.
Integrate enterprise platforms using REST, GraphQL, OAuth 2.0, authentication, data mapping, error handling, and audit controls.
Implement monitoring, logging, observability, deployment, scaling, and infrastructure solutions using cloud platforms when required.
Conduct output validation, performance tuning, and safety testing before client go-live.
Build reusable Skills libraries, automation templates, and reference architectures.
Contribute to technical demos, proof-of-concept builds, RFP responses, solution estimations, and account expansion opportunities.
Produce solution designs, architecture diagrams, runbooks, and post-deployment reports.
Manage scope, timelines, risks, and deliverables across concurrent client engagements and deliver working solutions in 2–4 week sprint cycles.
Build trusted-advisor relationships with client technical teams and mentor Automation Engineers and client teams.

3–5 years of relevant experience.
Hands-on familiarity with LLM platforms, agent frameworks, APIs, and production deployment across at least one of Anthropic Claude, Microsoft Copilot, Google Gemini, or OpenAI.
Experience with Claude Skills, Cowork, structured instruction design, output validation, and skill packaging.
Experience designing MCP connectors and integrating enterprise systems with authentication flows.
Production-grade Python and/or Node.js development experience.
Experience with REST and GraphQL APIs, authentication, error handling, rate limiting, and webhooks.
Familiarity with AWS, Azure, or GCP, including deployment, containers, and infrastructure fundamentals.
Familiarity with LLM evaluation and observability tools such as LangSmith or Weights & Biases.
Strong technical communication, consulting presence, autonomy, commercial awareness, and ability to explain architecture decisions to business and IT audiences.
Ability to work directly with C-suite stakeholders, IT architects, operations leaders, and technical teams.
Ability to travel regularly for client discovery, workshops, proof-of-concept delivery, and go-live activities.

Expected salary range is $90,000–$130,000 CAD annually, based on experience and qualifications.
Hybrid engagement with onsite client-facing work and remote delivery phases.
Onshore Canada location, with Toronto preferred.
Regular client travel is required.

11-50 employees