Senior Forward Deployed Engineer

Role Description

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 workforces — persona discovery, role-specific enablement, and workflow automations deployed and owned by you.

Your Assignment:

• 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.

Qualifications

• 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.

Requirements

• 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, DevOps Engineer Professional, or equivalent.

Benefits

• 100% remote work.
• Medical Insurance for you and eligible dependents.
• Generous holidays and flexible PTO.
• Competitive phantom equity.
• Paid for exams and certifications.
• Peer bonus awards.
• State of the art laptop and tools.
• Equipment & Office Stipend.
• Individual professional development plan.
• Annual stipend for Learning and Development.
• Work with an amazing worldwide team and in an incredible corporate culture.
• This role may require up to 50% travel, depending on business needs.