H2O.ai is seeking a Senior Principal AI Solutions Architect to assist enterprises in adopting and scaling AI with the H2O.ai platform, helping them solve business challenges by applying cutting-edge Gen AI/ML algorithms.
Requirements
- 5+ years of technology architecture experience, with a track record of scaling enterprise applications and data-intensive workloads.
- 3+ years of customer-facing cloud deployment experience (AWS, Azure, GCP) with deep expertise in Kubernetes, containerization, CI/CD, and cloud-native architectures.
- Proven ability to design enterprise AI/ML deployments: MLOps, security, compliance, high availability, monitoring, and governance frameworks.
- Experience producing technical architecture diagrams, solution designs, and deployment strategies for diverse enterprise environments.
- Deep knowledge of GenAI Ops, MLOps, DevOps, and production-grade AI deployment patterns.
- Familiarity with data security, governance, and compliance (e.g., GDPR, HIPAA, SOC2) in enterprise AI contexts.
- Experience with H2O.ai products or other enterprise AI platforms is a plus.
Responsibilities
- Serve as a trusted advisor to executives and technical leaders at enterprise prospects, customers, and partners, articulating H2O.ai’s technology vision, value proposition, and enterprise adoption roadmap.
- Partner with Sales, Product, and Partners to accelerate pre-sales cycles: conduct discovery, design solution architectures, deliver value-based proposals, and run customer working sessions that ensure success in proof-of-concepts, pilots, and enterprise deployments.
- Lead the technical strategy and architecture design for deploying H2O.ai solutions across cloud (AWS, Azure, GCP) and on-premises environments, including hybrid and multi-cloud architectures.
- Showcase deployment best practices: containerization, Kubernetes orchestration, CI/CD integration, MLOps pipelines, observability, scaling large data workloads, and governance/security for enterprise AI.
- Deliver compelling demos, workshops, and executive briefings across the full H2O.ai stack: Driverless AI, H2O Feature Store, EnterpriseGPT, ML Ops, Wave, h2oGPT, LLM Studio, and open-source products.
- Collaborate closely with the Product team to influence the roadmap with customer/field feedback, ensuring our platform continues to address real-world enterprise challenges.
- Drive thought leadership through reference architectures, blueprints, solution accelerators, blogs, whitepapers, webinars, and conference presentations.
Other
- Relevant degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
- Excellent presentation and communication skills: confident at whiteboarding with engineers and presenting to C-level executives.
- Experience in consultative selling and pre-sales solutioning is strongly preferred.
- Comfortable working independently, managing multiple strategic accounts, and traveling up to 50%.
- Prior experience in vertical industry AI solutioning (banking, insurance, healthcare, manufacturing, public sector).
