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 2024 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 position is 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
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, sexual 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 [http://www.h2o.ai/]www.H2O.ai [http://www.h2o.ai/]to learn more.
