Director of Applied AI - Edge Inference & Privacy

webAI; Austin (TX); On-site; USD 210,000 - 320,000; Full time

Benefits offered by this job

Health, dental, and vision benefits

401(k) match

Equity options

$200 Health & Wellness stipend

Continuing Education support

$500/year Function Health subscription

Free parking

Flexible Time Off

Parental leave

Supplemental life insurance

Job summary

webAI, based in Austin, TX, seeks a Director of Applied AI to lead cross-functional teams in designing and deploying enterprise AI solutions on a distributed platform. This role demands deep technical leadership, hands-on coding, and the ability to translate customer needs into scalable capabilities.

You will mentor engineers and applied scientists, shape research strategy, and drive edge inference, privacy-preserving AI, and real-time performance.

Qualifications

• 8+ years in ML/AI with at least 3 in leadership.
• Proven AI product design and deployment.
• Proficient in Python and ML frameworks.
• Experience with customer-facing AI systems.
• Excellent cross-functional leadership.

Responsibilities

• Lead design, development, and deployment of applied AI on webAI's distributed platform.
• Translate customer needs into scalable AI solutions.
• Mentor teams and align with product strategy.
• Drive edge inference and privacy-preserving AI architecture.
• Set evaluation benchmarks and ensure reliability.
• Present complex tech to executives and customers.

Job description

webAI, based in Austin, TX, seeks a Director of Applied AI to lead cross-functional teams in designing and deploying enterprise AI solutions on a distributed platform. This role demands deep technical leadership, hands-on coding, and the ability to translate customer needs into scalable capabilities.

You will mentor engineers and applied scientists, shape research strategy, and drive edge inference, privacy-preserving AI, and real-time performance.