webAI · 1 month ago
Director of Applied AI
webAI is pioneering the future of artificial intelligence by establishing a distributed AI infrastructure dedicated to personalized AI. The Director of Applied AI will lead a cross-functional team to design, develop, and deploy advanced AI solutions for public sector and enterprise customers, ensuring high-quality delivery and alignment with customer needs.
Computer Software
Responsibilities
Lead the design, development, and deployment of applied AI systems built on webAI’s distributed AI platform
Engage directly with public sector and commercial customers to translate mission needs into technical requirements and scalable solutions
Guide teams in training, fine-tuning, optimizing, and evaluating large language models and multimodal models for domain-specific applications
Oversee technical execution across multiple parallel projects, ensuring high-quality delivery under tight deadlines
Collaborate with Infrastructure, Platform Engineering, and Product teams to align applied AI initiatives with overall product strategy
Build and mentor a high-performing applied AI team, fostering a culture of innovation, ownership, and hands-on problem solving
Drive architectural decisions related to edge inference, distributed processing, privacy-preserving AI, and real-time performance
Establish rigorous evaluation methodologies, benchmarks, and validation frameworks for AI model performance and system reliability
Identify emerging trends, technologies, and research areas that can accelerate mission impact and product differentiation
Present complex technical concepts to leaders, customers, and stakeholders in a clear and compelling manner
Qualification
Required
You need to code! Every leader in this company is hands-on
8+ years of experience in applied machine learning, AI engineering, or related fields, with at least 3 years in a leadership role
Proven track record designing and deploying an AI product
Strong expertise with LLMs, generative AI, machine learning workflows
Hands-on experience building or integrating AI systems for customer-facing applications
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX, etc.)
Experience leading cross-functional teams and managing multiple high-impact projects simultaneously
Ability to communicate complex technical ideas clearly to both technical and non-technical audiences
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
Preferred
Master's or PhD in a technical discipline such as Computer Science, Machine Learning, AI, or Applied Mathematics
Background in distributed systems, edge computing, or privacy-preserving ML
Experience deploying AI models on-device or in constrained compute environments
Familiarity with MLOps, data pipelines, and scalable inference architectures
Strong understanding of security, compliance, and data governance considerations in enterprise or public sector contexts
Ability to thrive in ambiguous, fast-paced, high-growth startup environments
Benefits
Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
401k Match (US-based only)
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
$500/year Function Health subscription (US-based only)
Free parking, for in-office employees
Unlimited Approved PTO
Parental Leave for Eligible Employees
Supplemental Life Insurance
Company
webAI
webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices.
H1B Sponsorship
webAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (2)
Funding
Current Stage
Growth StageRecent News
Google Patent
2024-04-16
Company data provided by crunchbase