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As a Senior Sales Engineer at H2O.ai, you'll lead pre-sales efforts by leveraging technical expertise in AI to design solutions for enterprise customers, drive ROI demonstrations, and guide AI adoption. You'll collaborate with multiple teams and influence product roadmaps while showcasing hands-on skill with LLMs and cloud-based deployments.

The Senior Sales Engineer will support enterprise customers in utilizing H2O.ai's platform, driving pre-sales success, designing AI solutions, and conducting technical demonstrations. This role includes collaboration with sales, product management, and guiding MLOps and deployment strategies.

As a Senior Sales Engineer at H2O.ai, you'll leverage your expertise in Machine Learning and Generative AI to assist enterprise customers with AI solutions, collaborating across teams to deliver impactful presentations, design architectures, and guide customers through their AI journey.

The Senior Sales Engineer will leverage technical expertise and sales skills to help enterprise customers implement AI solutions. Responsibilities include pre-sales solutioning, technical design, and customer guidance throughout AI adoption.

The Senior Enterprise Account Executive will manage enterprise accounts, develop strategic plans, maintain relationships with C-level executives, and drive sales growth for H2O.ai's AI solutions.

The Senior Enterprise Account Executive will manage enterprise accounts, build relationships with C-level executives, drive sales cycles, and leverage partnerships for AI solutions.

The AI Engineer will design and implement AI solutions for enterprise clients, focusing on agentic AI systems, LLM applications, and production ML pipelines, while collaborating with customer teams to deliver impactful results.

As an AI Engineer, you will design and deploy AI solutions, including LLM applications, integrating them into enterprise environments, and collaborating with customers to resolve complex challenges.

Lead vulnerability management for a containerized cloud platform: triage scan results, remediate vulnerabilities hands-on (upgrade deps, rebuild images, patch code), coordinate fixes with engineering, support FedRAMP/SOC2 compliance, extend automation and tooling, engage customer security teams, and participate in incident response and security documentation.

Design, build, and deploy a Kubernetes-based cloud platform managing AI engine lifecycles. Develop operators, APIs (gRPC/REST), microservices, and CI/CD deployments (Helm/GitOps), ensure container hardening and production reliability, and mentor teammates through design-to-delivery ownership.