Manager, AI Engineering

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 

You will be responsible for technical / data science activities required to support attainment of new and expansion revenue for H2O.ai sales, also to make customers successful, ensuring they build AI / GenAI projects and put models in production. As part of that, you will be a key technical advisor to H2O.ai customers, partners, and prospects:

• Lead various engineering / data science / AI / GenAI activities relevant for customers and field operations
• Being a trusted advisor and go to resource of all technical Gen AI/ML challenges during the sales process.
• Providing machine learning expertise to help customers solve their business challenges.
• Selling and architecting value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency.
• Manage a team of machine learning / AI engineers responsible for customer delivery work

What You Will Do

• Be the trusted data science advisor for our prospects, customers and partners
• Own account-related technical items and relationships - account planning, project management, and solution design 
• Communicate effectively with internal and external stakeholders to a diverse audience, including engineers, businesspeople, partners and executives to demonstrate thought leadership. Audiences will be large and small, and interactions will be in-person and online. 
• Translate business use cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
• Demonstrate machine learning solutions with engaging storytelling and technical accuracy
• Create, design, and deliver compelling presentations on complex and technical concepts
• Lead successful proof of values and concepts.
• Keep track of customer projects and provide technical support for successful delivery whenever necessary.
• Develop AI / GenAI solutions, applications, and products
• Lead, mentor, and support team members to drive their professional growth and career development
• Foster a collaborative environment by providing guidance, feedback, and coaching to help individuals reach their full potential

What We Are Looking For 

• Bachelors / master’s or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
• Minimum of 5 years of relevant sales engineering experience working in the field of Gen AI/ML, in a pre- sales customer facing role
• Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries is required.
• Consultative selling experience is an asset.
• In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end-to-end ML pipelines.
• Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes.
• Excellent verbal and written communication skills
• Self-starter, able to work without any supervision.
• Comfortable with traveling up to 50%

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 drive the company’s purpose.
Please visit www.H2O.ai to learn more.