Forward Deployed Engineer

Responsibilities

• Technical Delivery
• Own the technical delivery within AI engagements, working alongside the strategy and architecture lead
• Build rapid prototypes that validate AI approaches early. Prove feasibility before committing to full implementation
• Design and execute evaluation frameworks: define metrics, run evals against client use cases, and use results to iterate on solutions and inform strategic recommendations
• Configure and customize Claude Code tooling tailored to each client's codebase, coding standards, and development practices
• Design and build production-grade AI systems: agents, data pipelines, AI-augmented workflows, and platform capabilities in the client's codebase, not a sandbox
• Own the technical relationship with client engineering teams: you are the primary technical contact from IC to engineering leadership, building the trust that earns you a seat in hard conversations
• Run technical discovery sessions, architecture reviews, and hands-on workshops with engineering stakeholders; translate strategic direction into scoped, deliverable work
• Surface technical risks and opportunities. Your field observations shape the engagement strategy
• Delivery Quality
• Transfer lasting capability: build as if you're handing off tomorrow, with documentation, runbooks, and working software that stands on its own after you leave
• Feed the practice: contribute reusable patterns, evaluation templates, and field-tested IP back to the team at engagement close. This is how the business gets smarter from your
• engagements
• Internal Contribution
• Support pre-sales scoping and technical discussions alongside the account team
• Mentor junior engineers and contribute to the delivery methodology
• Collaborate with the engagement team to refine delivery patterns and improve handoffs between strategy and implementation

Requirements

• Required
• 5+ years of software engineering, with meaningful time in a client-facing or embedded delivery context
• Hands-on experience with Claude Code or equivalent AI-assisted development tools, including configuration, prompt-based instructions, and workflow automation.
• Hands-on depth in one or more of: LLM application development, cloud-native architecture (AWS preferred), Kubernetes, or backend systems at scale
• Experience with rapid prototyping. You can take an ambiguous problem and have a working proof-of-concept in days, not weeks
• Familiarity with evaluation frameworks for AI systems: defining metrics, running evals, and using results to iterate on solutions
• Proven ability to run independently inside a client environment, managing your own priorities, stakeholders, and delivery quality while aligning with the broader engagement strategy
• Strong communicator: technically precise with engineers, clear and confident with technical leadership; conceptual and easy to understand for the business; adjusts depth to the audience
• High tolerance for ambiguity; able to start delivering value before every requirement is defined
• Preferred
• Experience building production AI systems: RAG pipelines, agents, fine-tuned models, or LLM-native applications
• Direct experience with Claude Code's extensibility model: custom skills, hooks, MCP servers, and prompt architecture. Claude Certified Architect Certification preferred.
• Background in a consulting firm, systems integrator, or professional services environment
• Familiarity with SOW-based delivery and sco

Benefits

Additional Information

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between. At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! About This Role Caylent's Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic. We are Anthropic's first pure-play delivery partner. You are the technical engine of AI engagements. You own the hands-on delivery: rapid prototyping, running evaluations, configuring Claude Code tooling, and building production- grade AI systems in client environments. You live inside your clients' codebases, standups, and architecture decisions, and you own the technical outcomes. There are two FDE archetypes: Technology-Workforce FDE. Targets engineering, product, and IT organizations. Specializes in AI-enabled developer tooling, AIOps, and LLM-native product builds. Operational FDE. Targets operational and business-unit workforces. Specializes in workforce automation, process transformation, and AI-augmented business operations.

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