Appen 2
Forward Deployed Engineer
San Francisco, California
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $150,000 – $200,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 3 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Role Purpose
The Forward Deployed Engineer works directly with enterprise clients to design, deploy, and optimize GenAI data solutions, with full ownership of final delivered data quality. Embedded across engineering, data operations, and client delivery, this role ensures datasets, pipelines, workflows, and automations meet defined accuracy, reliability, and performance requirements for GenAI model development.
Your Impact
Act as a trusted consultative partner to clients by defining requirements, clarifying success criteria, shaping high-quality annotation guidelines, and proactively providing insights.
Influence the what and the why behind GenAI data solutions by translating ambiguous client needs into clear, scalable workflows.
Deliver GenAI datasets that meet all defined acceptance and quality criteria.
Define the validation and automation requirements that reduce variance, manual review effort, rework, and time to validation.
Partner with engineering to build requirements as scalable, reproducible, and observable pipelines.
Contribute reusable quality frameworks and validators adopted across multiple projects.
What You Bring
3+ years of experience in a customer-facing technical role such as solutions engineering, solutions architect, data or technical consulting, or data operations.
Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience.
Experience working on GenAI, machine learning, or model evaluation data, including LLM training, annotation, or evaluation workflows.
A consultative problem-solving approach when leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions.
Ability to vibe code but proficiency in Python and SQL is a plus
Confidence in working directly with client engineering or machine learning teams.
Location and Work Arrangement
This is a hybrid role based in San Francisco, CA. You will be required to work from our San Francisco office two days per week.
Similar jobs
- AI Forward Deployed EngineerZip · San FranciscoFirst seen today
- Forward Deployed EngineerWithclutch · United StatesFirst seen todayremote
- Forward Deployed EngineerClera · New York CityFirst seen today
- Member of Technical Staff, Forward Deployed EngineerInferact · San FranciscoFirst seen today
- Forward Deployed Engineer (FDE) Data42 (Palantir Foundry)Novartis · Cambridge (USA)First seen today
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job