Forward Deployed Engineer
Company websitecaylent.com (Caylent, opens in new tab)
Base salary $136K to $216K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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!
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.
Forward Deployed Engineers live inside client organizations — in their standups, codebases, and architecture decisions. You own your assigned workstreams, deliver production-quality work from day one, and build the independent track record that creates a path to solo account ownership.
We hire into two specializations: Technology-Workforce FDEs embed in engineering, product, and IT organizations building LLM-native production systems; Operational FDEs embed in business functions — Finance, HR, Legal, Supply Chain, and more — building workflow automations and running AI enablement programs for non-technical teams.
Your Assignment
- Own assigned workstreams end-to-end within a larger engagement — your scope is yours to drive, not wait on
- Build and ship in client codebases and environments — not in sandboxes
- Contribute to discovery sessions, architecture reviews, and stakeholder interviews alongside senior FDEs
- Translate ambiguous problems into scoped, deliverable work on your assigned scope
- Surface risks and blockers early — escalate intentionally when decisions exceed your scope, not for tactical approval
- Transfer capability that lasts: document and hand off working software or automations that stand on their own after you leave
- Contribute at least one reusable artifact or pattern back to the practice before each engagement closes
Your Qualifications
- 2–4 years of software engineering, technical delivery, or business systems experience
- Demonstrated ability to self-direct on assigned scope — managing your own time, priorities, and delivery quality without daily oversight
- Hands-on experience in one or more of: LLM application development, cloud-native development, backend engineering, or business automation tooling
- Strong communicator: technically clear with engineers, accessible and credible with business stakeholders
- High tolerance for ambiguity; starts delivering before every requirement is defined
Preferred Qualifications
- Hands-on experience building with LLM APIs (Claude, AWS Bedrock, or equivalent) — prompt architecture, tool use, basic agent patterns
- Familiarity with cloud-native development (AWS preferred), containerization, or backend systems
- Experience with rapid prototyping: taking an ambiguous problem to a working proof-of-concept quickly
- Background in a consulting firm, systems integrator, or professional services environment a plus
Operational Preferred
- Deep fluency in at least one business function: Finance, HR, Legal, Sales Ops, Supply Chain, or Manufacturing
- Hands-on with Zapier, Power Automate, Airtable, or similar business automation tools
- Familiarity with enterprise systems: Salesforce, Oracle, D365, Workday, ServiceNow, or equivalent
- Experience supporting AI or digital adoption programs for non-technical audiences
Who Thrives here
You operate without a playbook, earn trust fast, and build things that last. This role works best for people who are energized by figuring things out in motion — day-to-day direction comes from you, not a manager. If that sounds like the environment you're looking for, you'll be at home here.
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. The work is at the frontier: agents, AI product builds, enterprise adoption at scale. Advancement is tied to delivery performance, not tenure.
Benefits
- Medical insurance for you and eligible dependents
- 401k plan with company match up to 4% and immediate vesting
- Competitive phantom equity
- Company-issued laptop
- Dental and vision insurance
- Term disability and life insurance
- Flexible Spending Account
- Equipment and office stipend
- Annual stipend for learning and development
- Unlimited paid time off
- 10 paid holidays
This role may require up to 50% travel, depending on business needs.
Base Salary Range: The expected base salary range for this position is $136,000 - $216,000 per year, commensurate with experience and qualifications.
Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.
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 [email protected]
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 [email protected].Source: Caylent on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($136,000) is above 23% of the 3,559 Data & ML roles nationwide listed on this site; 38 others list the same floor. Their median floor is $170,000; the middle half runs from $137,700 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingForward Deployed Engineer$136K to $216K
Senior Forward Deployed Engineer$136K to $216K
Senior Forward Deployed Engineer | New York or San Francisco (Onsite)$136K to $216K
Forward Deployed AI Lead$210,000 to $232,500
Chart as a table
| Role | Published base |
|---|---|
| Forward Deployed Engineer (this listing) | $136K - $216K |
| Senior Forward Deployed Engineer | $136K - $216K |
| Senior Forward Deployed Engineer | New York or San Francisco (Onsite) | $136K - $216K |
| Forward Deployed AI Lead | $210,000 - $232,500 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-04-20
Where this pay comes from
Location as the employer wrote it: USA
Base Salary Range: The expected base salary range for this position is $136,000 - $216,000 per year, commensurate with experience and qualifications.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
