Jobs / LLM applications

h2o.ai

Manager, AI Engineering

Remote · Full-time · India

Compensation
Not defined
Category
LLM applications
Employment
Full-time
Workplace
Remote

Technologies

  • Python
  • AWS
  • Kubernetes

About the role

H2O. ai is on a mission to democratize AI for Good.

  • 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.
  • Its 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, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH.
  • 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
  • This position is based in India.
  • 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-fr

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