[All remote jobs](https://jobicy.com/jobs.md)[![Caylent logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/9ed8d81b-221.jpg)](https://jobicy.com/company/caylent.md)[Caylent](https://jobicy.com/company/caylent.md) # Senior Forward Deployed Engineer AI Summary Caylent is hiring a Senior Forward Deployed Engineer to independently own client engagements from discovery and solution architecture through delivery and close. The role focuses on production AI, LLM-native applications, cloud-native architecture, enterprise automation, and transferring maintainable capabilities to clients. The engineer will manage senior stakeholders, control scope and risks, identify expansion opportunities, and contribute reusable delivery patterns back to the practice. Candidates need substantial engineering or technical-delivery experience, strong client-facing judgment, and comfort making decisions amid ambiguity. This Mexico-based role is fully remote, with potential travel of up to 50% depending on business needs.[Apply for this job](#job-application)[View company](https://jobicy.com/company/caylent.md)ShareRemote from[Mexico](https://jobicy.com/job-region/mexico.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished10 Nov 2026Apply before10 Dec 2026Listing views43Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. [Caylent](https://jobicy.com/company/caylent.md) 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, DevOps, 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! The Mission 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 Your 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 Preferred Qualifications * 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 Operational Preferred * Background in management consulting, enterprise SaaS implementation, or a business function you know deeply from the inside * Experience designing and running AI enablement programs for non-technical business audiences * Hands-on with Zapier, Power Automate, Airtable, or similar; familiarity with enterprise systems like Salesforce, Workday, ServiceNow * Track record working cross-functionally — comfortable in Finance and Legal and Operations in the same engagement Who Thrives here 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. Why This Team 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. ### 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. NOTE: This position requires current legal authorization to work in the country where this position is located. Caylent is not able to sponsor visa or work permit applications at this time. At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact talent@caylent.com Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com. Show more [Apply now >](https://jobicy.com/jobs/161041-senior-forward-deployed-engineer-3.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly demanding consulting-delivery role because one person owns both technical outcomes and the full client relationship. It requires senior AI/cloud engineering depth, independent judgment, commercial awareness, and confident communication with executives. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$155,000US market range (per year)$130k–$185k0$203.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. Yearly cadence is inferred from the senior, full-time professional role; the figures are AI-estimated USD annual market compensation benchmarks and not employer-provided pay. ## Core skills Skills and capabilities most closely associated with this opportunity. [LLM application development](https://jobicy.com/jobs?search_keywords=LLM%20application%20development.md)[AWS cloud architecture](https://jobicy.com/jobs?search_keywords=AWS%20cloud%20architecture.md)[AWS Bedrock](https://jobicy.com/jobs?search_keywords=AWS%20Bedrock.md)[Claude](https://jobicy.com/jobs?search_keywords=Claude.md)[RAG pipelines](https://jobicy.com/jobs?search_keywords=RAG%20pipelines.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Backend systems](https://jobicy.com/jobs?search_keywords=Backend%20systems.md)[Enterprise automation](https://jobicy.com/jobs?search_keywords=Enterprise%20automation.md)[Technical consulting](https://jobicy.com/jobs?search_keywords=Technical%20consulting.md)[Client relationship management](https://jobicy.com/jobs?search_keywords=Client%20relationship%20management.md)[Solution architecture](https://jobicy.com/jobs?search_keywords=Solution%20architecture.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Scope management](https://jobicy.com/jobs?search_keywords=Scope%20management.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md) Sample interview questionsDescribe a client engagement that you owned from discovery through delivery. How did you maintain alignment and control scope?I would begin with stakeholder interviews and a concise definition of outcomes, constraints, decision owners, and acceptance criteria. I would maintain a visible delivery plan and risk log, review trade-offs early, and document any scope changes with their impact on timeline and priorities. This creates transparency while preserving momentum and client trust. How would you decide whether an enterprise AI use case should use RAG, an agentic workflow, fine-tuning, or a conventional automation? I would start with the business decision or workflow, data sensitivity, reliability requirements, latency, and expected volume. RAG is appropriate when grounded access to changing knowledge is central; agents fit multi-step tool use with strong guardrails; fine-tuning is reserved for repeatable behavioral or task improvements where prompt and retrieval approaches are insufficient. A conventional deterministic automation is preferable when the workflow does not need probabilistic reasoning. Tell us about a time you made a significant architecture decision with incomplete requirements. I would clarify the irreversible decisions first, identify assumptions, and choose a small, measurable implementation that validates the highest-risk hypothesis. I would explain the alternatives and trade-offs to stakeholders, instrument the solution, and set a checkpoint for revisiting the decision as evidence becomes available. This allows delivery to proceed without pretending uncertainty does not exist. How do you ensure that an AI solution remains maintainable after the client engagement ends? I design for operational ownership from the beginning: clear interfaces, infrastructure-as-code where appropriate, documented prompts and model settings, evaluation cases, monitoring, runbooks, and knowledge transfer sessions. I also make sure client operators can safely update content, credentials, and workflow rules without relying on the delivery team. The final handoff should include a runnable system and an explicit support model. How would you communicate an AI architecture risk to a VP-level stakeholder who is focused on a rapid launch? I would state the business impact in direct language, distinguish the risk from the technical detail, and present practical options. For example, I might recommend a phased release with human review for high-impact actions while we collect evaluation evidence. I would give a clear recommendation, timeline implications, and the decision needed from the stakeholder. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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