GenAI Data Solutions Engineer - Client-Facing (Hybrid SF)

Lever, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Appen, based in San Francisco, is seeking a Forward Deployed Engineer to design, deploy, and optimize GenAI data solutions for enterprise clients. You will own data quality across datasets, pipelines, and automations, collaborating with engineering and client teams.

Role requires 3+ years in customer-facing tech, a CS/engineer/data science background, and experience with GenAI/ML workflows. Hybrid SF office presence two days weekly; compensation ranges with base salary and incentives.

Qualifications

• 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 CS, 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.

Responsibilities

• 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.

Skills

Customer-facing role

GenAI experience

Python

SQL

Education

Bachelor's degree in CS/Engineering/Data Science/Statistics or related field

Tools

Python

SQL

Job description

Appen, based in San Francisco, is seeking a Forward Deployed Engineer to design, deploy, and optimize GenAI data solutions for enterprise clients. You will own data quality across datasets, pipelines, and automations, collaborating with engineering and client teams.

Role requires 3+ years in customer-facing tech, a CS/engineer/data science background, and experience with GenAI/ML workflows. Hybrid SF office presence two days weekly; compensation ranges with base salary and incentives.