Forward Deployed Engineer
AIFund Open · verified Oct 24, 2026 At a glance
Mid-level Software Engineering role at AIFund. Mountain View · full-time · $180,000–$200,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Work at client sites to spot promising AI uses, reshape workflows and put AI solutions into practice
- Learn how client teams operate, find process bottlenecks and shape AI approaches around their needs
- Create and launch AI tools, agents and automations with current models and frameworks
- Coordinate with engagement leads on scope, planning and delivery, then build internal tools between client projects
- Track new AI engineering developments and bring useful methods back to the team
What you bring
- Strong practical AI engineering skills, including work with LLMs, agents and retrieval-augmented systems
- Hands-on use of Claude Code, Codex or similar AI-assisted development tools
- Clear communication with business audiences and confidence working directly with enterprise clients
- Experience with enterprise software, APIs and integrations between systems
Who this fits
This mid-level role suits an engineer who can deliver AI systems while earning trust and explaining technical choices to business stakeholders. You’ll work onsite in Mountain View between client assignments and travel to client sites for engagements lasting one to three weeks.
From the employer
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
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Deploy to enterprise client sites for short-term engagements to assess AI opportunities, redesign workflows, and implement AI-powered solutions
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Work closely with client teams to understand their business processes, identify inefficiencies, and design AI solutions that drive meaningful impact
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Build and deploy AI tools, agents, and automations using the latest models and frameworks
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Collaborate with engagement managers and leadership to ensure client engagements are scoped, planned, and delivered effectively
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Contribute to internal platform and tooling development between client engagements
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Stay current with the latest developments in AI engineering and bring new ideas and approaches back to the team
What We Are Looking For
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Strong AI engineering skills — you are proficient building with LLMs, agents, RAG systems, and related technologies
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Hands-on experience with tools including Claude Code, Codex, and related AI-assisted development tools
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Ability to communicate technical concepts clearly to non-technical business stakeholders
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Comfortable with client-facing work and able to navigate enterprise environments professionally
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Willingness to travel for short-term client engagements (1-3 weeks at a time)
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Problem-solver with a bias for action — you figure things out and get things done
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Experience with enterprise software, APIs, and system integrations
Nice to Have
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Background in financial services, consulting, or other professional services
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Prior experience in a forward deployed, consulting, or solutions engineering role
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