As the Head of AI at ResolveGrid.ai, you will drive AI strategy and execution, managing a world-class AI organization and developing scalable AI systems for industrial applications.
ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations. Our founders combine deep industry expertise with Silicon Valley experience. ResolveGrid.ai is backed by Andrew Ng’s AI Fund and other notable investors. ResolveGrid.ai leverages cutting-edge AI to bring unprecedented efficiency, intelligence, and adaptability to industrial workflows.
Resolvegrid is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector. This is a hybrid role that will be based in Southern California.
As the Head of AI, you will drive the company’s AI strategy and execution. You will lead research, architecture, and productization efforts across AI, ML, and data science. This role sits at the intersection of technical leadership, product innovation, and organizational building.
Responsibilities for the Role Include:
- Define and lead the company’s AI roadmap, from foundational research to applied innovation.
- Build and manage a world-class AI organization, including ML engineers, data scientists, and research scientists.
- Design and implement scalable AI/ML infrastructure, including data pipelines, model training frameworks, and evaluation systems.
- Integrate LLMs, multimodal models, RAG systems, and diffusion models into practical enterprise workflows.
- Partner with engineering and product teams to transform research into production-grade AI features.
- Lead the development of internal tools and APIs that accelerate AI experimentation and deployment.
- Champion AI safety, ethics, and responsible model use within the company.
- Collaborate with customers to understand their domain challenges and translate them into AI-driven solutions.
- Stay at the frontier of AI research—evaluating new architectures, foundation models, and trends in GenAI and MLOps.
- Represent ResolveGrid.ai externally at conferences, in publications, and with strategic partners.
Requirements for the Role Include:
- Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, or related field.
- 8+ years of hands-on experience in AI/ML research, development, and deployment.
- Deep expertise in LLMs, multimodal systems, retrieval-augmented generation (RAG), and AI agents.
- Experience leading technical teams and mentoring top-tier engineering and research talent.
- Proven track record of building AI systems from concept to production in fast-paced environments.
- Strong command of MLOps and LLMOps, including CI/CD pipelines, monitoring, evaluation, and lifecycle management.
- Entrepreneurial mindset: thrives in early-stage startups and can balance vision with practical execution.
- Excellent communication skills with the ability to translate complex AI concepts to diverse audiences, from technical teams to executives and investors.
Nice to Haves for the Role Include:
- Experience in industrial automation, robotics, or enterprise SaaS.
- Contributions to open-source AI projects or published research.
- Familiarity with vector databases, multimodal embeddings, and orchestration frameworks (e.g., LangChain, LlamaIndex, Ray, or Hugging Face).
- Experience with AI compliance, safety, or model governance frameworks.
Top Skills
AI
Ci/Cd Pipelines
Evaluation
Hugging Face
Langchain
Lifecycle Management
Llamaindex
Llms
Ml
Monitoring
Multimodal Models
Orchestration Frameworks
Rag Systems
Ray
Vector Databases
AI Fund Palo Alto, California, USA Office
Palo Alto, CA, United States, 94303
Similar Jobs
Artificial Intelligence • Software • Automation
Lead the AI Deployment Strategists team by managing staffing, customer success relationships, playbook development, and operational excellence in AI deployments.
Top Skills:
AICustomer Relationship ManagementSaaSWorkforce Management
Healthtech
Lead the PK/PD consulting services, guide the adoption of AI solutions, and establish processes for a new services organization. Collaborate with teams, mentor talent, and represent InsightRx in scientific forums.
Top Skills:
AIMonolixNonmemPythonRStan
Software
The Head of AI Engineering will develop AI/ML architecture, build AI product capabilities, mentor engineers, and shape the platform at Serval.
Top Skills:
AIAWSGoGrpcKubernetesMlReactTerraformTypescript
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
