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Forward Deployed Engineer

Updated

Pay not postedSan Francisco, CAHybrid

Translate client needs into scalable GenAI data workflows

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View posting at Appen

At a glance

Posted base pay

Not posted

The work

Plans what the customer deploys first

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations (not covered)
Coding
Configuration only
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 3+ yearscustomer-facing technical role such as solutions engineering, solutions architecture, data or technical consulting, or data operations

Background

  • Solutions and customer engineering
  • Implementation and data engineering
  • Consulting

Tools

  • Python
  • SQL
  • LLM training
  • GenAI
  • machine learning
  • data annotation
  • model evaluation

Less common in FDE jobs

  • Coding work: Configuration only14%
  • Company size: About 1,001–5,000 people17%
  • Company stage: Public33%
  • Hybrid35%

Share of US FDE postings that state each fact.

The job description from Appen

Posted by Appen on

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.

Why You’ll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions for frontier models.

You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialize in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

View posting at Appen

About Appen

Appen supplies human-generated training, alignment, annotation, and evaluation data to AI labs and enterprises building reliable models.

Public · 1000–2000 people

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Pay and conditions

Posted pay
Pay not posted
Location
San Francisco, CA
Work arrangement
Hybrid
Remote work restrictions
Based in San Francisco, California; required in the San Francisco office two days per week.
Employment type
Full-time
Experience requirements
  • 3+ years: customer-facing technical role such as solutions engineering, solutions architecture, data or technical consulting, or data operations (required)