Senior Sales Engineer (Life Sciences)

Join as a Senior Sales Engineer specializing in AI for the Life Sciences sector. In this role, you will leverage your deep technical expertise in Machine Learning and Generative AI to help enterprise customers design, adopt, and scale AI using the platform. You will work closely 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 offers a remote-friendly culture, a flexible working environment, and opportunities for career growth. - Partner with Sales to drive pre-sales success by leading discovery sessions, identifying customer needs, designing technical solutions, and building winning proposals. - Execute high-impact proof of value that demonstrates ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform. - Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously. - Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration - 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms - Willingness to travel up to 50% to support strategic accounts - 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 - Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms - Experience with products or similar enterprise AI/ML platforms is a plus - Excellent presentation and communication skills: confident in front of C-level executives and technical teams - 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)