Forward Deployed Engineer

AI Fund

$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong AI engineering skills with proficiency in building LLMs, agents, RAG systems, and related technologies.
  • Hands-on experience with AI-assisted development tools such as Claude Code and Codex.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Professional demeanor in navigating client-facing environments.
  • Willingness to travel for short-term client engagements (1-3 weeks).
  • Proven problem-solver with a proactive approach to challenges.
  • Experience with enterprise software, APIs, and systems integrations.

Responsibilities

  • Deploy to client sites to assess AI opportunities, redesign workflows, and implement AI solutions.
  • Collaborate with client teams to understand business processes and identify inefficiencies.
  • Build and deploy AI tools and automations using the latest models and frameworks.
  • Work with engagement managers to plan and execute client projects effectively.
  • Contribute to the development of internal platforms and tools during non-client engagement periods.
  • Stay updated on advancements in AI engineering and share insights with the team.

Benefits

  • Opportunity to work directly with leading organizations on impactful AI projects.
  • Dynamic role blending technical engineering with client interaction.
  • Engage in continuous learning and development in a fast-evolving field.
  • Contribute to innovative internal projects and tools.
Full Job Description
About the Role

We are looking for Forward Deployed AI Engineers to join our team and work directly at the intersection of AI engineering and enterprise impact. In this role, you will be embedded with our enterprise clients to help them identify high-value opportunities, redesign workflows, and implement AI-powered solutions that drive real business outcomes. Between client engagements, you will be based out of our Mountain View office, contributing to internal tooling and platform development.

This is a unique and dynamic role that blends deep technical AI engineering with meaningful client-facing work. You are not just building in isolation - you are translating cutting-edge AI capabilities into practical solutions for some of the world's leading organizations. To thrive here, you will need to be both a strong engineer and someone who can communicate clearly with business stakeholders, understand their challenges, and earn their trust.

Key Responsibilities

  • Deploy to enterprise client sites for short-term engagements to assess AI opportunities, redesign workflows, and implement AI-powered solutions
  • >
  • Work closely with client teams to understand their business processes, identify inefficiencies, and design AI solutions that drive meaningful impact
  • >
  • Build and deploy AI tools, agents, and automations using the latest models and frameworks
  • >
  • Collaborate with engagement managers and leadership to ensure client engagements are scoped, planned, and delivered effectively
  • >
  • Contribute to internal platform and tooling development between client engagements
  • >
  • Stay current with the latest developments in AI engineering and bring new ideas and approaches back to the team
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What We Are Looking For

  • Strong AI engineering skills - you are proficient building with LLMs, agents, RAG systems, and related technologies
  • >
  • Hands-on experience with tools including Claude Code, Codex, and related AI-assisted development tools
  • >
  • Ability to communicate technical concepts clearly to non-technical business stakeholders
  • >
  • Comfortable with client-facing work and able to navigate enterprise environments professionally
  • >
  • Willingness to travel for short-term client engagements (1-3 weeks at a time)
  • >
  • Problem-solver with a bias for action - you figure things out and get things done
  • >
  • Experience with enterprise software, APIs, and system integrations
  • >


Nice to Have

  • Background in financial services, consulting, or other professional services
  • >
  • Prior experience in a forward deployed, consulting, or solutions engineering role
  • >


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