Director of Applied AI
webAI · Austin, TX
Applied AIremotedirector
At a glance
Highlights
- Lead design and deployment of enterprise AI on distributed edge infrastructure.
- Partner directly with customers to turn mission needs into scalable solutions.
- Help shape applied research strategy for personalized AI at scale.
What they offer
- Competitive salary and performance-based incentives
- Comprehensive health, dental and vision benefits with HSA option
- 401(k) match for US-based employees
- Flexible PTO policy and parental leave
- Continuing education support
- Company-paid life insurance and disability coverage
- Free parking for in-office employees
Ideal candidate
Hands-on AI leader who thrives mentoring teams and partnering with customers in fast-moving, high-stakes environments. Driven by ownership and curiosity, passionate about private, edge-deployed personalized AI.
Requirements
- 8+ years in applied machine learning or AI engineering with 3+ years in leadership
- Hands-on coder - every leader is hands-on
- Proven track record designing and deploying an AI product
- Strong expertise with LLMs, generative AI and ML workflows
- Hands-on experience building AI systems for customer-facing applications
- Proficiency in Python and modern ML frameworks like PyTorch, TensorFlow, JAX
- Experience leading cross-functional teams across multiple high-impact projects
- Clear communicator of complex ideas to technical and non-technical audiences
- Bachelor's in Computer Science, Engineering, Mathematics or related field
Lab profile
About webAI
Building distributed, private AI infrastructure for personalized, edge-deployed enterprise and government AI.
What they build
- Distributed AI infrastructure
- End-to-end private AI platform
Known for
- Distributed edge processing
- Private and sovereign AI
- Specialized enterprise intelligence
- Efficient and sustainable models
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