Manager, AI Engineering

Job Title: Manager, AI Engineering Company: H2O.ai Job Category: Machine Learning Roles & Responsibilities: H2O.ai is on a mission to democratize AI for Good. 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 Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. 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 * Market leader in total rewards * Remote-friendly culture * Flexible working environment * Be part of a world-class team * Career growth 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. Work Location: Remote, India Availability: Full time

* 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% Key Skills: Machine Learning, Python Salary: Not disclosed