AI Engineer/ Anthropic Architect (FDE)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer / Anthropic Architect (Forward Deployed Engineer) based in Canada.
This is a high-impact, customer-facing AI engineering role operating at the frontier of applied generative AI and enterprise solution delivery.
You will work directly with strategic customers to design, build, and deploy production-grade AI systems powered by Claude and other frontier models.
The role blends AI engineering, solution architecture, and forward-deployed consulting in fast-moving enterprise environments.
You will translate complex business problems into scalable agentic systems, workflows, and LLM-powered architectures.
A key part of your work involves rapid prototyping, building POCs, and delivering measurable business impact from early discovery through production.
You will act as a trusted technical advisor across engineering, product, and executive stakeholders.
This is a highly autonomous role where you operate at the intersection of innovation, delivery, and enterprise AI transformation.
Accountabilities:
- Embed directly with enterprise customers to design, build, and deploy production AI applications powered by Claude and other LLM systems.
- Lead the architecture and implementation of scalable AI solutions, including agentic workflows, RAG systems, MCP servers, and multi-agent frameworks.
- Deliver rapid prototypes, demos, and proof-of-concept solutions that demonstrate clear business value and technical feasibility.
- Act as the primary technical point of contact across customer engagements, coordinating with internal delivery, sales, and partner teams.
- Design enterprise-grade AI architectures and integration patterns across cloud platforms (AWS, Azure, GCP) and enterprise data ecosystems.
- Conduct technical discovery workshops to define customer requirements, assess AI readiness, and translate needs into architecture roadmaps.
- Respond to RFPs, RFIs, and security reviews with clear and compelling technical documentation.
- Provide guidance on LLM evaluation, prompt engineering, observability, and production deployment best practices.
- Identify technical risks early and ensure scalable, reliable delivery of AI solutions in production environments.
- Act as an internal subject matter expert on Claude and generative AI systems, sharing knowledge and building reusable accelerators and assets.
- Collaborate with Account Executives to shape technical strategy and support pre-sales and solution design activities.
- Contribute feedback to product and partner teams based on real-world enterprise deployments.
- 5+ years of experience in software engineering, solutions architecture, technical consulting, or customer-facing AI roles.
- 2+ years of hands-on experience building production LLM applications using Claude, GPT-4, or similar enterprise-grade models.
- Strong Python programming skills, with additional experience in TypeScript, Java, or similar languages being a plus.
- Experience designing and deploying agentic systems using frameworks such as LangGraph, LangChain, CrewAI, or DSPy.
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and enterprise integration patterns.
- Experience with prompt engineering, evaluation frameworks, LLM observability, and scalable AI deployment.
- Proven ability to lead technical discovery sessions and translate business requirements into architecture decisions.
- Strong communication skills, with the ability to explain complex AI concepts to both technical and executive audiences.
- High autonomy, strong ownership mindset, and comfort working in ambiguous, fast-moving customer environments.
- Bonus: experience with vector databases, RAG pipelines, MCP servers, Claude ecosystem tools, or enterprise AI certifications.
- Competitive compensation with performance-based incentives and equity-aligned rewards.
- Fully remote-friendly work environment within Canada.
- Opportunity to work on cutting-edge AI projects across global enterprise customers.
- Access to continuous learning, certifications, and multiple advanced technology practices.
- High-impact role at the forefront of generative AI adoption and enterprise transformation.
- Collaborative, people-first culture with strong focus on innovation and knowledge sharing.
- Exposure to frontier AI systems, including Claude and other leading LLM platforms.
- Strong autonomy with meaningful ownership over customer-facing technical outcomes.
Requirements:
Benefits:
AI Engineering pay context
Based on 605 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $203K/year, with most offers between $165K and $244K (10th–90th percentile: $132K–$285K).
See the full AI Engineering salary breakdown →