Senior Forward Deployed Engineer

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, Dev Ops, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We are a fully remote global company 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!

Caylent’s Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic — Anthropic’s first pure-play delivery partner. Engagements are production-grade: agents, data products, AI-augmented operations, workforce transformation.

Senior FDEs run their own accounts — full relationship, from discovery through close, without anyone above managing the engagement. You scope, architect, build, and close. You are the account.

We hire into two specializations:
Technology-Workforce FDEs run solo technical engagements in engineering and IT organizations, owning architecture decisions and LLM-native delivery end‑to‑end;
Operational FDEs lead single-function AI adoption programs across business work forces — persona discovery, role‑specific enablement, and workflow automations deployed and owned by you.

• Own the full client relationship on your account from discovery through close
• Make architecture and build decisions appropriate to the client’s environment and constraints; stand behind them
• Run discovery, architecture reviews, and stakeholder interviews independently; translate ambiguous problems into scoped, deliverable work
• Identify scope creep and manage it — surface risks before they become problems
• Identify and surface expansion opportunities
• Transfer capability that lasts: documented, runnable, maintainable software or automations that work after you leave
• Contribute IP back to the practice after every engagement: patterns, templates, and reusable components

• 5+ years of engineering or technical delivery experience with meaningful time in embedded or client‑facing contexts
• Proven solo account delivery: evidence you’ve owned a client relationship from kickoff through close without supervision
• Hands‑on depth in one or more of: LLM application development, cloud‑native architecture (AWS preferred), backend systems at scale, or enterprise business automation
• Demonstrated ability to make independent technical decisions and manage your own delivery quality inside client environments
• Strong communicator: technically precise with engineers, clear and confident with VP‑level leadership; adjusts depth without losing accuracy
• High tolerance for ambiguity; consistently delivers value before all requirements are defined

• Experience building production AI systems: RAG pipelines, agents, fine‑tuned models, or LLM‑native applications
• Hands‑on with Claude, AWS Bedrock, or equivalent — model parameters, prompt architecture, tool use
• Background in a consulting firm, systems integrator, or professional services environment
• Familiarity with SOW‑based delivery and scope management
• AWS certifications:
  Solutions Architect Professional, Dev Ops Engineer Professional,…