Senior Forward Deployed Engineer

About this role

<div class="content-intro"><p>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.</p> <p>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!</p></div><p><strong>The Mission</strong></p> <p>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.</p> <p>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.</p> <p>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. </p> <p> <strong>Your Assignment</strong></p> <ul> <li>Own the full client relationship on your account from discovery through close </li> <li>Make architecture and build decisions appropriate to the client's environment and constraints; stand behind them</li> <li>Run discovery, architecture reviews, and stakeholder interviews independently; translate ambiguous problems into scoped, deliverable work</li> <li>Identify scope creep and manage it — surface risks before they become problems</li> <li>Identify and surface expansion opportunities </li> <li>Transfer capability that lasts: documented, runnable, maintainable software or automations that work after you leave</li> <li>Contribute IP back to the practice after every engagement: patterns, templates, and reusable components</li> </ul> <p> <strong>Your Qualifications</strong></p> <ul> <li>5+ years of engineering or technical delivery experience with meaningful time in embedded or client-facing contexts</li> <li>Proven solo account delivery: evidence you've owned a client relationship from kickoff through close without supervision</li> <li>Hands-on depth in one or more of: LLM application development, cloud-native architecture (AWS preferred), backend systems at scale, or enterprise business automation</li> <li>Demonstrated ability to make independent technical decisions and manage your own delivery quality inside client environments</li> <li>Strong communicator: technically precise with engineers, clear and confident with VP-level leadership; adjusts depth without losing accuracy</li> <li>High tolerance for ambiguity; consistently delivers value before all requirements are defined</li> </ul> <p> </p> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience building production AI systems: RAG pipelines, agents, fine-tuned models, or LLM-native applications</li> <li>Hands-on with Claude, AWS Bedrock, or equivalent — model parameters, prompt architecture, tool use</li> <li>Background in a consulting firm, systems integrator, or professional services environment</li> <li>Familiarity with SOW-based delivery and scope management</li> <li>AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent</li> </ul> <p> </p> <p><strong>Operational Preferred</strong></p> <ul> <li>Background in management consulting, enterprise SaaS implementation, or a business function you know deeply from the inside</li> <li>Experience designing and running AI enablement programs for non-technical business audiences</li> <li>Hands-on with Zapier, Power Automate, Airtable, or similar; familiarity with enterprise systems like Salesforce, Workday, ServiceNow</li> <li>Track record working cross-functionally — comfortable in Finance and Legal and Operations in the same engagement</li> </ul> <p><strong>Who Thrives here</strong></p> <p>You carry an account without daily check-ins, read tension in a client org before it surfaces, and bring expansion signals forward without being asked. This role is structured around full account ownership — people who do well here are energized by that autonomy and accountability.</p> <p><strong>Why This Team</strong></p> <p>The work is at the frontier — agents, AI product builds, enterprise adoption — and you own the outcomes, not just the hours. Autonomy with backing: minimal oversight in the field, a strong technical bench behind you when the problem warrants it. Advancement tied to delivery performance and expansion generation, not tenure.</p> <h2><strong>Benefits</strong></h2> <ul> <li>100% remote work</li> <li>Equitable Life - Hybrid Plan</li> <li>100% Premium…