Forward Deployed Engineer

The Forward Deployed Engineer works directly with enterprise clients to design, deploy, and optimise 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 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.

• 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.

Remote Hiring Remotely in US 150K-200K Annually Mid level Remote Hiring Remotely in US 150K-200K Annually Mid level The Forward Deployed Engineer designs and implements GenAI data solutions, ensuring data quality and optimizing workflows for enterprise clients. The summary above was generated by AI, The total target compensation for this full-time role ranges from $150K-$200K USD annually, inclusive of base salary and performance-based incentive. Actual compensation is determined based on role, level, experience and technical expertise. Appen offers a comprehensive benefits package, including medical, dental, and vision coverage, retirement plan options and paid time off., 8 Days Ago Remote or Hybrid 180K-230K Annually Senior level 180K-230K Annually Senior level Artificial Intelligence * Productivity * Sales * Software As a Forward-Deployed Engineer, you will lead AI-driven transformations for strategic customers, architecting end-to-end solutions and guiding account strategy while collaborating with technical and executive teams. Top Skills: AINode.jsReactTypescript Circle

Forward Deployed Engineer

14 Days Ago In-Office or Remote 100K-140K Annually Mid level 100K-140K Annually Mid level Blockchain * Fintech * Payments * Financial Services * Cryptocurrency * Web3 As a Forward Deployed Engineer, you'll redesign work processes using AI, prototype workflows, and engage both technical and non-technical stakeholders to drive efficiency and impact. Top Skills: Agent FrameworksAILlm Tooling Ocrolus Inc., United States Easy Apply 150K-170K Annually Mid level 150K-170K Annually Mid level Artificial Intelligence * Fintech * Machine Learning * Software The Mortgage Forward Deployed Engineer will work directly with clients in the mortgage sector to implement technical solutions, troubleshoot issues, and support integrations with Ocrolus' technology, enhancing efficiency in lending workflows. Top Skills: AWSAzureEncompass Developer ConnectGitJavaScriptPythonReactSQLTypescript

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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 specialise 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.