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 Positive 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 />About This OpportunityAs a Solution 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 is a remote position in Canada and can be based in Toronto, Canada.
What You Will Do




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 5-6 years of experience with cloud computing/linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions




Experience of working in a customer facing environment, providing technical services
Excellent communication skills (verbal and written, English language). Additional languages a plus.
Amicable attitude. Aptitude to independently investigate and find solutions to technical problems;

urge to learn/master new technologies. Maker mindset.
How to Stand Out From the CrowdKubernetes, Linux, and Cloud Architecture Skills
Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly.
Excellent understanding and implementation experience of the cloud ecosystem i.E. what solutions exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components
Excellent understanding and implementation experience with containers and container based orchestration frameworks. Kubernetes (multiple distros like Openshift, and hosted solutions like AKS, EKS and GKE) must have. Virtualization knowledge (vmware. kvm) is a plus.
Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution
Programming Languages/Frameworks
Experience in Python, shell scripting is a must have. Go experience is a plus
Data Engineering Skills
Understanding of building data pipelines for data transformation using big data tools like Hadoop and Spark/Kafka for batch and streaming processing of data.
Understanding and experience of SQL query language and working with relational databases.
Understandi

📌 Solutions Architect, Devops (Toronto)
🏢 h2o.ai
📍 Toronto