Senior Sales Engineer, Life Sciences

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 algorithms.

Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration.

Master the art of technical storytelling , the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer.

Excellent presentation and communication skills: confident in front of C-level executives and technical teams.

Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus.

Willingness to travel up to 50% to support strategic accounts.

Experience running POCs, pilots, and executive workshops that accelerate AI adoption.

Familiarity with enterprise security, compliance, and governance in AI deployments.

Demonstrated thought leadership (talks, blogs, open-source contributions).

Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).

Why H2O.ai?

Market leader in total rewards

Remote-friendly culture

Flexible working environment

Be part of a world-class team

Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.