Forward Deployed Engineer

Appen is a leader in AI training data, specializing in human generated data for training and evaluating models across various AI domains. The Forward Deployed Engineer will work directly with enterprise clients to design and optimize GenAI data solutions, ensuring high-quality data delivery and performance. This role involves collaborating with clients to define requirements and building scalable data workflows and validation systems.

Responsibilities:

• Act as a trusted consultative partner to clients by defining requirements, clarifying success criteria, shaping high‑quality annotation guidelines, and proactively providing insights and innovative solutions that strengthen trust and improve data quality, efficiency, and model outcomes
• Influence the what and the why behind GenAI data solutions by translating ambiguous client needs into clear, scalable workflows
• Deliver zero-defect GenAI datasets that meet all defined acceptance and quality criteria
• Build scalable, reproducible, and observable validation and automation pipelines that reduce variance, manual review effort, rework, and time to validation
• Contribute reusable quality frameworks and validators adopted across multiple projects

Requirements:

• Experience working on GenAI, machine learning, or model evaluation data
• A consultative problem-solving approach when leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions
• Hands-on experience designing and implementing data pipelines, validation systems, or workflow automation
• Previous experience in owning final data quality and acting as the authority on delivery readiness
• The ability to translate business or model development needs technical workflows and validation logic
• Confidence in working directly with client engineering or machine learning teams
• Strong documentation that prioritizes reproducibility, observability, and reliability