Job Description
Founded in 2012, H2O.ai is at the forefront of the AI movement to democratize Generative AI. H2O.ai’s open-source Generative AI and Enterprise h2oGPT, combined with Document AI and the award-winning autoML Driverless AI, have transformed more than 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, Chipotle, ADP, Workday, Progressive Insurance, and AES.
Our “AI for Good” program supports nonprofit groups, foundations, and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.
We have a vibrant community of two million data scientists worldwide and aim to bring together the world’s top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.
H2O.ai is a Visionary in the 2026 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We are the only provider in the market to offer both Predictive AI and Generative AI on premise and air gapped, in addition to supporting all cloud environments.
About This Opportunity
We are looking for a talented Solution Architect. 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 3-month contract position based in Toronto, Ontario.
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 Machine Learning, Model Management, Generative AI and Cloud products in the customer environment/landscape.
Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products.
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 6-8 years of experience with cloud computing/Linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions.
System/Cloud Architecture Skills
Excellent understanding and implementation experience with containers and containers-based orchestration frameworks and leveraging them in the development/solutioning process.
Kubernetes and Docker knowledge must have.
Excellent understanding of system engineering concepts and good command of working in a Linux based environment (OS fundamentals etc.) Ubuntu and CentOS/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 of distributed systems/services architecture and enterprise grade solutions/software.
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 Go, Python, Java, Bash scripting is good to have.
Experience in cloud IaaC skills like CloudFormation/Deployment Manager or Terraform.
Data Engineering Skills
Understanding of building data pipelines and processes supporting data transformation, data structures, metadata, dependency and workload management in ‘big data’ environments.
Experience of manipulating, processing and extracting value from large, disconnected datasets.
Excellent understanding and experience of SQL query language and working with relational databases.
Experience of NoSQL database types and understanding of their disparate application scenarios.
Data Science skills
Excellent understanding and experience of deploying Large Language Models in a containerized environment.
Knowledge of overall Generative AI landscape and concepts.
Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Additional Requirements
Experience of working in a customer facing environment, providing technical services.
Excellent communication skills (verbal and written, English language). Additional languages a plus.
Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies.
Why H2O.ai?
Market leader in total rewards
Remote-friendly culture
Flexible working environment
Be part of a world-class team
Career growth
Hourly pay rate: CAD $58.00 - 80.00
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, ****** orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drives the company’s purpose.
Please visit www.H2O.ai to learn more.
8utdjgwkJT
Our “AI for Good” program supports nonprofit groups, foundations, and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.
We have a vibrant community of two million data scientists worldwide and aim to bring together the world’s top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.
H2O.ai is a Visionary in the 2026 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We are the only provider in the market to offer both Predictive AI and Generative AI on premise and air gapped, in addition to supporting all cloud environments.
About This Opportunity
We are looking for a talented Solution Architect. 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 3-month contract position based in Toronto, Ontario.
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 Machine Learning, Model Management, Generative AI and Cloud products in the customer environment/landscape.
Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products.
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 6-8 years of experience with cloud computing/Linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions.
System/Cloud Architecture Skills
Excellent understanding and implementation experience with containers and containers-based orchestration frameworks and leveraging them in the development/solutioning process.
Kubernetes and Docker knowledge must have.
Excellent understanding of system engineering concepts and good command of working in a Linux based environment (OS fundamentals etc.) Ubuntu and CentOS/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 of distributed systems/services architecture and enterprise grade solutions/software.
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 Go, Python, Java, Bash scripting is good to have.
Experience in cloud IaaC skills like CloudFormation/Deployment Manager or Terraform.
Data Engineering Skills
Understanding of building data pipelines and processes supporting data transformation, data structures, metadata, dependency and workload management in ‘big data’ environments.
Experience of manipulating, processing and extracting value from large, disconnected datasets.
Excellent understanding and experience of SQL query language and working with relational databases.
Experience of NoSQL database types and understanding of their disparate application scenarios.
Data Science skills
Excellent understanding and experience of deploying Large Language Models in a containerized environment.
Knowledge of overall Generative AI landscape and concepts.
Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Additional Requirements
Experience of working in a customer facing environment, providing technical services.
Excellent communication skills (verbal and written, English language). Additional languages a plus.
Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies.
Why H2O.ai?
Market leader in total rewards
Remote-friendly culture
Flexible working environment
Be part of a world-class team
Career growth
Hourly pay rate: CAD $58.00 - 80.00
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, ****** orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drives the company’s purpose.
Please visit www.H2O.ai to learn more.
8utdjgwkJT
💡 Quick Summary
Seeking a career-building opportunity? The Solution Architect position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Toronto offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.
