Director of Applied AI

webAI
Austin, TX
Hybrid

Who this role is best for

Geared toward experienced AI leaders comfortable with cross-functional collaboration and distributed AI infrastructure, with a focus on enterprise applications and hands-on technical involvement.

Best fit for

  • Candidates with 8+ years of applied machine learning experience and a leadership track record in AI product deployment
    — “8+ years of experience in applied machine learning, AI engineering, or related fields, with at least 3 years in a leadership role.”
  • Individuals who have led cross-functional teams and driven AI solutions for enterprise clients
    — “Experience leading cross-functional teams and managing multiple high-impact projects simultaneously.”
  • Professionals with a background in distributed systems and edge computing, especially for privacy-preserving AI deployment
    — “Background in distributed systems, edge computing, or privacy-preserving ML.”

Things to consider

  • The role expects hands-on technical involvement, not just strategic oversight
    — “You need to code! Every leader in this company is hands-on.”
  • Candidates must be prepared to work in a startup environment with high expectations for adaptability
    — “Ability to thrive in ambiguous, fast-paced, high-growth startup environments.”

How to stand out

  • Highlight experience with large language models and multimodal systems in enterprise contexts
    — “Guide teams in training, fine-tuning, optimizing, and evaluating large language models and multimodal models for domain-specific applications.”
  • Demonstrate leadership in deploying AI on constrained compute or edge environments
    — “Experience deploying AI models on-device or in constrained compute environments.”
  • Showcase a history of aligning AI initiatives with product strategy and customer needs
    — “Collaborate with Infrastructure, Platform Engineering, and Product teams to align applied AI initiatives with overall product strategy.”
  • Emphasize your ability to translate technical concepts into clear, business-aligned communication
    — “Ability to communicate complex technical ideas clearly to both technical and non-technical audiences.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designs, develops, and deploys applied AI systems
  • engages directly with commercial customers to translate mission needs into technical requirements
  • guides teams in training, fine-tuning, optimizing, and evaluating large language models and multimodal models
  • oversees technical execution across multiple parallel projects
  • collaborates with Infrastructure, Platform Engineering, and Product teams
Typical background
8+ years of experience in applied machine learning, AI engineering, or related fieldsproven track record designing and deploying an AI productstrong expertise with LLMs, generative AI

Skills & requirements

Required

Applied AIDistributed AILarge Language ModelsMultimodal ModelsDomain-specific ApplicationsTechnical ExecutionCustomer Needs TranslationAI Model TrainingOptimizationEvaluationSystem ReliabilityEmerging TrendsTechnical Communication

Preferred

Distributed ProcessingPrivacy-preserving AIReal-time PerformanceAI Model PerformanceSystem ReliabilityEmerging TrendsTechnical Communication

Stack & domain

AI InfrastructureDistributed AILarge Language ModelsMultimodal ModelsDomain-specific ApplicationsEdge InferenceDistributed ProcessingPrivacy-preserving AIReal-time PerformanceEvaluation MethodologiesBenchmarksValidation FrameworksAI Model PerformanceSystem ReliabilityEmerging TrendsTechnologiesResearch AreasCustomer NeedsTechnical RequirementsScalable SolutionsTrainingFine-tuningOptimizingEvaluatingLeadershipCommunicationProblem-solvingTeamworkAdaptabilityOwnershipHands-on Problem SolvingInnovationMentorshipTechnical FluencyExecutionHigh-stakesRapidly Evolving EnvironmentsAI

About the role

Original posting from webAI via Ashby

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises and consumers with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

The Director of Applied AI will play a pivotal leadership role in designing, developing, and deploying advanced AI solutions for enterprise customers. You will lead a cross-functional team of engineers and applied scientists to deliver mission-critical AI capabilities, architect novel approaches leveraging distributed AI infrastructure, and partner closely with customers to understand their needs and translate them into scalable, impactful solutions.

This role requires deep technical expertise, strong communication and leadership skills, and the ability to drive execution in high-stakes, rapidly evolving environments. You will help shape webAI’s applied research strategy, mentor teams, and ensure we deliver world-class AI technologies that align with customer missions and business goals.

Responsibilities:

  • Lead the design, development, and deployment of applied AI systems built on webAI’s distributed AI platform.
  • Engage directly with 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.

Qualifications:

  • 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 Skills

  • 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.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.

  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Source: webAI careers (Ashby)

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