Note: The job is a remote job and is open to candidates in USA. Xora Innovation is a leading global AI and deep tech venture firm, and they are seeking a hands-on, visionary VP of AI to architect, code, build, and lead the AI organization at 4MP. The role involves defining how AI becomes the foundational layer of autonomous manufacturing, managing a world-class team, and integrating multidisciplinary data for improved manufacturing outcomes.
Responsibilities
- Build and Manage the AI Organization: You will build and manage the AI organization at 4MP, while doing hands-on technical work. You will recruit and mentor a world-class team while architecting the AI modules, writing code, reviewing architecture, and building prototypes alongside them
- Lead AI Architecture: Design and develop the intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions
- Integrate Multidisciplinary Data: Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context
- Interpret & Modify CNC Programs: Build AI systems to extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles
- Design Learning Frameworks: Develop feedback loops that combine AI reasoning with physics-based models and sensor data, allowing machines to improve from each correction cycle and production result
- Build Data Infrastructure: Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments
- Create Simulation Environments: Define simulation and validation environments for training, testing, and scaling autonomous correction models
- Drive Strategic Cross-Functional Leadership: In close interaction with other functional leaders, you will contribute to defining the company strategy, technology and business roadmaps, and comprehensive project plans
Skills
- Hands-On AI Management: Proven experience building and managing an AI organization while doing hands-on technical work. You must be comfortable leading teams while actively contributing to the codebase
- 10+ Years of Experience: Deep background in AI, software engineering, machine learning architecture, robotics, intelligent systems, or complex technical platforms
- Industrial Domain Expertise: Direct experience with robotics, autonomous systems, industrial systems, physics-informed machine learning, reinforcement learning, control systems, simulation, digital twins, or real-world telemetry
- System Architecture Expertise: Deep experience designing and building production-grade AI, ML, data, or software infrastructure from the ground up
- Strong Coding and Data Proficiency: Exceptional hands-on coding skills and ability to manage data pipelines, model orchestration, validation, feedback loops, and complex, messy, real-world data
- Core AI/ML Expertise: Strong, up-to-date understanding of optimization, statistical modeling, and system-level AI design
- Educational Foundation: Bachelor's degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field
- Advanced Degree: Master's or PhD in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field
- Startup & Scaling Experience: An ideal candidate will bring a unique blend of agile startup experience alongside a proven track record of navigating the growth, product-focused phase at a major AI organization (such as OpenAI, Anthropic, Google, Meta, etc.)
- “Can Do”, Driven Attitude: A track record of turning ambiguous, unsolved technical problems into reliable, working systems where no playbook existed
- Systems Thinker: A focus on building foundational, long-term scalable platforms and intelligent systems rather than just standalone models
- Visionary Drive: You are not just looking for a senior title; you are looking for the opportunity to achieve a career-defining milestone by building a platform that fundamentally reshapes an entire industry
Company Overview