All remote jobs

Forward Deployed Engineer

AI Summary
Caylent is seeking a senior AI strategy and technical architecture leader for its Anthropic-focused services practice. The role leads customer discovery, AI operating-model design, executive workshops, adoption roadmaps, and outcome/ROI mapping while directing Forward Deployed Engineers on implementation. It combines client advisory delivery with account expansion responsibilities across enterprise and PE-backed organizations. Candidates need substantial software architecture or engineering experience, executive communication skills, AI adoption expertise, and working knowledge of DevOps and AI-assisted development tools.
Remote from
Mexico
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
8 Dec 2026
Listing views
27
Application actions
1
Application 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 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!

About This Role

Caylent’s Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic.

The Agentic Architect is the strategic and architectural lead on AI engagements. Paired with a Forward Deployed Engineer (FDE) who handles hands-on implementation, you own the engagement arc: shaping AI strategy, designing operating models, mapping AI outcomes to business value, and guiding executive stakeholders through adoption. You lead the room — the FDE builds what you architect.

This is a cross-functional role. You engage across lines of business, not just engineering, connecting AI initiatives to the outcomes that matter to each part of the organization. Every engagement is anchored to Anthropic’s platform and focused on real AI adoption outcomes.

Your clients span PE portfolio companies, growth-stage software businesses, and enterprise organizations. You are the strategic face of Caylent from kickoff through handoff.

What You’ll Do

Strategy and Architecture

  • Own AI engagements end-to-end as the strategic lead, from discovery through executive handoff, partnered with an FDE who drives implementation
  • Run structured discovery across engineering, product, and business stakeholders to map organizational context, AI readiness, and strategic goals across lines of business
  • Design AI operating models that define how the organization adopts, governs, and scales AI. Not just within engineering, but across the business
  • Define AI outcome maps that tie initiatives to measurable business results: efficiency gains, revenue impact, risk reduction, and time-to-value
  • Lead AI maturity assessments and architect near-term and long-term adoption roadmaps aligned to Anthropic’s platform capabilities
  • Facilitate executive workshops and enablement sessions for audiences ranging from engineering teams to C-suite leaders
  • Deliver executive presentations to CTOs, VPs of Engineering, and line-of-business leaders covering current-state findings, ROI projections, and strategic recommendations
  • Direct FDE work on Claude Code tooling, prompt architecture, and workflow automation. You set the technical direction, the FDE executes

Client Relationship and Business Development

  • Identify expansion opportunities across lines of business. AI strategy work naturally surfaces adjacent needs in departments beyond the initial engagement
  • Shape follow-on scope throughout the engagement: by Week 1, you should have a working hypothesis for the next engagement; by the final on-site block, you present it
  • Build executive relationships that position Caylent as a long-term AI strategy partner, not a one-time vendor
  • Attend on-site for the final Catalyst block: readout, workshop, and executive presentation

Internal Contribution

  • Contribute reusable strategy frameworks, delivery artifacts, and methodology improvements back into the practice at engagement close
  • Lead AI strategy engagements spanning multiple teams, platforms, and business functions
  • Collaborate with FDEs to refine the architect-engineer delivery model and improve handoff patterns

What We’re Looking For

Required

  • 8+ years of software development or technical architecture experience across varied stacks, including hyperscaler environments
  • 3+ years in engineering leadership, technical consulting, solutions architecture, or a combination
  • Demonstrated ability to engage across lines of business. You can talk to a VP of Engineering about CI/CD and a COO about operational efficiency in the same week
  • Experience designing or advising on AI operating models, technology adoption strategies, or digital transformation programs
  • Hands-on familiarity with Claude Code or equivalent AI-assisted development tools — you don’t need to configure them daily, but you need to speak the language credibly and direct an FDE’s work
  • Certified Claude Architect
  • Experience running structured stakeholder interviews, discovery sessions, and facilitated workshops with both technical and business audiences
  • Strong executive communication: writing and presenting to CTOs, VPs of Engineering, and line-of-business leaders
  • Experience delivering professional services engagements, including scope management, deliverable ownership, and client advisory
  • Working knowledge of CI/CD pipelines, DevOps practices, and modern software development workflows

Preferred

  • Experience mapping AI initiatives to business outcomes (revenue, efficiency, risk, time-to-value) with executive-level ROI framing
  • Familiarity with PE portfolio company environments and board-level communication
  • Background in solutions architecture, platform engineering, or enterprise technology strategy
  • Experience with LLM prompt engineering, agentic AI workflow design, or AI product development
  • Direct experience with Claude Code’s extensibility model
  • Familiarity with SDLC maturity frameworks or workforce analytics (DORA, DevEx)
  • Experience designing and facilitating workshops for mixed audiences — engineers, product managers, and business stakeholders

Who Thrives Here

The Agentic Architects who do well here are a specific profile:

  • Sat in the seat. You’ve led engineering teams or technology strategy inside a product company and understand the pressures executives navigate when adopting AI. Clients can tell.
  • Thinks across the business. You don’t stop at engineering. You see how AI impacts operations, product, and go-to-market — and you can have those conversations with the people who own them.
  • Knows when to slow down. You surface risks before committing to an approach. When the client’s definition of the work is wrong, you say so.
  • Closes the next engagement. The final week of a Catalyst is a conversion window. You treat it that way — and the cross-LOB relationships you’ve built give you multiple paths to expand.
  • Makes the methodology better. Every engagement teaches you something. You feed it back into the practice rather than keeping it in your head.
  • Earns trust at the executive level. You’re as comfortable presenting an AI operating model to a COO in the morning as reviewing prompt architecture with your FDE that afternoon.

This is a poor fit if you want someone else to handle the sales motion or prefer execution-only roles. You are accountable for both strategic delivery quality and account expansion.

Why This Team

  • Ground floor of something real: this BU is early, well-resourced, and anchored to Anthropic. You’re writing the playbook, not inheriting one
  • Own the methodology: you are shaping how AI-DLC enablement gets delivered. Every engagement you run improves the one after it
  • Proximity to the market: your clients are PE portcos, enterprise engineering orgs, and Anthropic-referred customers at the frontier of AI adoption
  • Revenue upside: Agentic Architects who drive account expansion earn on revenue generated, not just delivery margin
  • AI-native by default: this team uses AI in how it works. Specification-First Engineering is how we move from prototype to production fast
  • Outcomes, not hours: advancement tied to delivery performance and account growth, not utilization

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.

Apply now >

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

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a high-seniority client-facing role requiring both technical credibility and the ability to shape AI strategy for executive stakeholders. The position also carries responsibility for account expansion, multi-stakeholder delivery, and up to 50% travel.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$80,000
US market range (per year)$60k–$110k
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. Estimated annual USD compensation for a senior AI strategy and technical architecture consulting role based in Mexico is approximately $60,000–$110,000, with a midpoint of $80,000; this is an AI estimate rather than verified market research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you structure an AI discovery engagement for an enterprise client with inconsistent adoption across teams?

I would begin with stakeholder interviews across engineering, product, operations, and executive leadership to understand objectives, workflows, constraints, and current AI usage. I would assess maturity across governance, data, skills, tooling, and delivery practices, then prioritize use cases by value, feasibility, risk, and time-to-value. The output would be an outcome map, target operating model, and phased roadmap with measurable success metrics.

How do you connect an AI initiative to business value when presenting to executive stakeholders?

I translate technical capabilities into specific operational or commercial outcomes, such as reduced cycle time, lower support cost, improved developer throughput, revenue enablement, or risk reduction. I establish a baseline, identify assumptions and dependencies, quantify expected impact where possible, and present leading and lagging indicators. This makes the recommendation actionable rather than technology-led.

How would you work with a Forward Deployed Engineer during a client engagement?

I would own the strategic framing, architecture decisions, stakeholder alignment, and definition of success while partnering closely with the FDE on technical validation and implementation. I would provide clear priorities, constraints, and desired business outcomes, and use regular working sessions to review progress, risks, and client feedback. The handoff would include documented decisions, operating guidance, and a roadmap for the client team.

Describe how you would address a client who wants to deploy an AI workflow before governance and risk controls are ready.

I would acknowledge the urgency while explaining the operational, security, and reputational risks of moving directly to production. I would propose a phased approach: constrain the initial use case, define human review and access controls, establish evaluation criteria, and create monitoring and rollback procedures. This preserves momentum while building the foundations for responsible scaling.

What approach would you use to identify and develop follow-on engagement opportunities?

I would treat discovery findings as a portfolio of adjacent opportunities rather than a single project deliverable. Early in the engagement, I would map stakeholders, unmet needs, dependencies, and high-value use cases across business functions, then validate them through conversations and evidence. At the final readout, I would present a prioritized next-phase recommendation tied to outcomes, scope, investment, and expected value.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Next step

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Add alert
Jobs Talent AI Tools Salaries
Menu