Senior Forward Deployed Engineer | New York or San Francisco (Onsite)

Caylent

4d•$136,000 - $216,000•Onsite

About The Position

Caylent’s Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic. Senior Forward Deployed Engineers independently own client accounts from discovery through close, making architecture and build decisions, delivering production-grade solutions, and maintaining the full client relationship. Engagements include agents, data products, AI-augmented operations, and workforce transformation. The role has two specializations. Technology-Workforce FDEs lead 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, including persona discovery, role-specific enablement, and workflow automations that they deploy and own. The position is based onsite in New York City or San Francisco and may require up to 50% travel, depending on business needs. The expected base salary range is $136,000–$216,000 per year, with potential additional compensation including bonuses, commissions, equity, and other incentives. Caylent does not sponsor visa or work permit applications.

Requirements

At least 5 years of engineering or technical delivery experience, including meaningful time in embedded or client-facing contexts.
Evidence of independently owning 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.
Ability to make independent technical decisions and manage delivery quality within client environments.
Strong communication skills, including technical precision with engineers and clear, confident communication with VP-level leadership.
High tolerance for ambiguity and a consistent ability to deliver value before all requirements are defined.
Current legal authorization to work in the country where the position is located; visa or work permit sponsorship is unavailable.

Nice To Haves

Experience building production AI systems such as RAG pipelines, agents, fine-tuned models, or LLM-native applications.
Hands-on experience with Claude, AWS Bedrock, or equivalent, including model parameters, prompt architecture, and tool use.
Background in a consulting firm, systems integrator, or professional services environment.
Familiarity with SOW-based delivery and scope management.
AWS Solutions Architect Professional, DevOps Engineer Professional, or equivalent certification.
For the Operational specialization: background in management consulting, enterprise SaaS implementation, or a business function known deeply from the inside.
For the Operational specialization: experience designing and running AI enablement programs for non-technical business audiences.
For the Operational specialization: hands-on experience with Zapier, Power Automate, Airtable, or similar tools; familiarity with enterprise systems such as Salesforce, Workday, or ServiceNow.
For the Operational specialization: track record of cross-functional work, including with Finance, Legal, and Operations.

Responsibilities

Own the full client relationship for an account from discovery through close.
Make and stand behind architecture and build decisions appropriate to client environments and constraints.
Independently run discovery, architecture reviews, and stakeholder interviews; translate ambiguous problems into scoped, deliverable work.
Identify and manage scope creep, and surface risks before they become problems.
Identify and surface expansion opportunities.
Transfer lasting capability through documented, runnable, maintainable software or automations that work after the engagement ends.
Contribute reusable intellectual property to the practice after each engagement, including patterns, templates, and components.
For Technology-Workforce engagements, own architecture decisions and LLM-native delivery in engineering and IT organizations.
For Operational engagements, lead persona discovery, role-specific enablement, and deployment and ownership of workflow automations.

Benefits

Medical insurance for the employee and eligible dependents.
401(k) plan with company match up to 4% and immediate vesting.
Competitive phantom equity.
Company-issued laptop.
Dental and vision insurance.
Term disability insurance.
Term life insurance.
Flexible spending account.
Equipment and office stipend.
Annual learning and development stipend.
Unlimited paid time off.
10 paid holidays.
Potential bonuses, commissions, equity, and other incentives as additional compensation.