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H2O.ai

Senior Sales Engineer - AI

1w

H2O.ai

San Francisco, US · Full-time · $170,000 – $240,000

About this role

H2O.ai, founded in 2012, is on a mission to democratize AI as the world’s leading agentic AI company. It converges Generative and Predictive AI to help enterprises develop purpose-built GenAI applications on private data. Solutions focus on Sovereign AI for secure, compliant deployments aligning with data privacy standards.

Join as Senior Sales Engineer - AI in San Francisco, combining deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills. Work hand-in-hand with Sales, Product, and Customers to lead technical discovery, design architectures, run demos and pilots. Guide customers through their end-to-end AI journey using the H2O.ai platform.

Trusted by over 20,000 organizations worldwide, including half of the Fortune 500 like AT&T, Chipotle, and Workday. Partners include NVIDIA, Dell Technologies, Deloitte, Snowflake, AWS, and Google Cloud. Vibrant community of 2 million data scientists supports co-creating valuable AI applications.

Drive pre-sales success across industry verticals like banking, healthcare, and public sector. Showcase hands-on expertise with LLMs, Agentic Workflows, and H2O stack including Driverless AI and h2oGPTE. Design reference architectures for cloud, hybrid, and on-prem to demonstrate ROI and scale AI transformations.

Requirements

  • Deep technical expertise in Machine Learning and Generative AI
  • Strong pre-sales solutioning skills for enterprise customers
  • Hands-on expertise with LLMs including fine-tuning, evaluations, RAG, and Agentic pipelines
  • Experience designing sophisticated Agentic Workflows and multi-agent systems
  • Ability to design reference architectures and deployment strategies across AWS, Azure, GCP, hybrid, and on-prem
  • Knowledge of H2O stack including Driverless AI for predictive features and h2oGPTE for unstructured data
  • Proven ability to demonstrate ROI through proofs of value like cost per token and accuracy gains
  • Familiarity with AI solutions for verticals such as banking, finance, insurance, healthcare, and public sector

Responsibilities

  • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals
  • Execute high-impact proof of value that demonstrates ROI, such as cost per token or measurable accuracy gains using H2O AI Enterprise Platform
  • Build and present custom AI/ML/GenAI solutions tailored to industry verticals including banking, finance, insurance, healthcare, manufacturing, retail, public sector
  • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines
  • Design and build sophisticated Agentic Workflows beyond simple RAG to multi-agent systems that reason, use tools, and execute complex business logic
  • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem
  • Architect integrated solutions leveraging the full H2O stack: Driverless AI for predictive features, h2oGPTE for unstructured data synthesis