Senior Forward Deployed AI Engineer
Role Overview
Embed with clinical, product, and operations teams to deliver AI features that are validated, governed, and monitored by default.
Own solutions from intake through production launch and leave reusable assets that enable other teams to build AI features.
Key Skills for This Role
Full Job Posting
Role overview
Embed with clinical, product, and operations teams to deliver AI features that are validated, governed, and monitored by default.
Own solutions from intake through production launch and leave reusable assets that enable other teams to build AI features.
Responsibilities
- Make build, wrap, or vet decisions and define validation standards for initiatives.
- Build agentic systems using tool/function calling, RAG, MCP integrations, multi-step orchestration, and human-in-the-loop checkpoints.
- Use the shared AI platform for model serving, model contracts, evaluation, monitoring, tool registry, and prompt guardrails.
- Set acceptance criteria, offline and online evaluations, and escalation triggers before building.
- Apply AI intake and risk categorization; design to governance standards, with formal approval by Regulatory, Privacy, and Legal.
- Contribute reusable templates, registered tools, or reference architectures and coach teams through reviews and office hours.
What you'll bring
- Six or more years building and delivering product-grade software, including production AI features using LLMs and/or imaging with tool calling, RAG, or agent orchestration.
- Full-stack development experience beyond notebooks and demonstrations.
- Ability to evaluate models, reason about failure modes, and establish a validation bar with senior stakeholders.
- Strong Python, cloud engineering, deployment, and API skills; AWS and Bedrock are preferred.
- Hands-on experience building evaluation harnesses and acceptance criteria and designing human-in-the-loop workflows.
- Healthcare, regulated-environment, PHI, MCP, tool-interface, consulting, solutions architecture, or forward-deployed experience is preferred.
Work authorization
- Applicants must be legally authorized to work in Canada at hire and must not require current or future employer visa sponsorship.
Compensation
- Base salary is CAD 140,000 to CAD 160,000 per year, depending on experience and geographic location.
Benefits
- Benefits include health, dental, vision, and mental health coverage, plus access to RRSP and TFSA plans without company matching contributions.
- The company provides a free whole-body scan to each team member and offers flexible vacation, growth opportunities, and weekly team connection time.
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