Senior Solutions Architect, DevOps

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

As a Senior Solutions Architect in H2O.ai Professional Services team you will work closely with Technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side.

This position is based in Singapore.

What You Will Do

Your primary responsibilities would be to

• Be the trusted solutions advisor for our customers and partners and deliver technical professional services to the customer.
• Own and deliver services that include installation, configuration and integration of H2O Generative AI, Machine Learning, Model Management, and Cloud products in the customer environment/landscape.
• Provide/gather customer feedback to work with the H2O.ai Engineering team for product improvements.
• Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
• Architect, design, and implement end to end Predictive and Generative AI Machine Learning and Data Science solutions that help customers realize the value of their investments in H2O.ai products and services.
• Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives.
• Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and solutions.

What We Are Looking For

• Bachelor’s or a higher education degree in Computer Science/Engineering
• Minimum 5 - 7 years of experience with cloud computing/linux. Data processing pipelines or data intensive enterprise solution experience is a plus.
• Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL