Senior Sales Engineer, Financial Services

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.

For more information, visit www.h2o.ai.

About This Opportunity

We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey.

This position is based in Chicago, Ilinois.

What You Will Do

• 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 moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI 
• Build and present custom AI/ML/GenAI solutions tailored to industry verticals (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 can reason, use tools, and execute complex business logic autonomously.
• Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem.
• Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis
• Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready.
• Work closely with Product Management to influence the product roadmap based on customer and field insights.
• Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.

What We Are Looking For

• 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms.
• Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algo