Forward Deployed Engineer

career; Mountain View (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

AI Aspire, based in Mountain View, California, is looking for a Forward Deployed AI Engineer. This role engages directly with enterprise clients to identify AI opportunities and implement impactful solutions. Your expertise in AI engineering will be pivotal as you work alongside clients to enhance their business processes and workflows. You will also collaborate internally to further develop cutting-edge AI tools. Qualified candidates will have strong engineering skills with AI technologies and the ability to communicate effectively with business teams.

Qualifications

• Proficient in building with LLMs, agents, RAG systems.
• Ability to communicate concepts to non-technical stakeholders.
• Experience in enterprise environments enhancing trust.

Responsibilities

• Deploy to client sites for AI assessments and solutions.
• Collaborate with teams to redesign business workflows.
• Contribute to internal tooling development.

Skills

Strong AI engineering skills

Hands-on experience with Claude Code and Codex

Communication of technical concepts

Client-facing work experience

Problem-solving abilities

Experience with enterprise software and APIs

Tools

AI-assisted development tools

Job description

Based in the heart of Silicon Valley, AI Aspire is Dr. Andrew Ng's advisory firm guiding enterprises through their AI transformation journeys. The firm is led day-to-day by its Managing Partner Kirsty Tan, whose deep enterprise consulting experience brings fresh leadership to the firm's mission of helping large organizations harness the power of AI. Our mission is to reshape global industry with AI, helping enterprises become the AI-native leaders of their industries - delivering real impact through integrity, expertise, and adaptability.

Through AI Aspire, Dr. Ng continues to leverage the flywheel effect of his broader ecosystem, including AI Fund and DeepLearning.AI, to accelerate responsible and effective AI adoption across industries.

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

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