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Job Description 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 . About This Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas. What You Will Do Customer Engagement Leadership • Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes., • Manage multiple concurrent engagement streams simultaneously – coordinating workplans, resourcing, and milestones across cross-functional teams., • Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership., • Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders – translating business needs into technical direction and back again., • Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust., • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows., • Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use., • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety., • Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment., • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows., • Integrate AI models into customer environments – cloud, on-prem, and hybrid – ensuring performance, stability, and maintainability at scale., • Coordinate delivery across engineers, program managers, and solution architects – ensuring workstreams are aligned, unblocked, and progressing to plan., • Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team., • Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery., • 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment., • Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements – not just executing within them., • Demonstrable experience building LLM-powered applications – RAG pipelines, agentic workflows, fine-tuned models, or similar., • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent)., • Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones., • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps., • Solid grounding in classical ML – able to select the right tool for the problem, not just default to the latest LLM., • Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications., • Strong executive communication – able to run a board-level briefing one hour and a technical design review the next, credibly., • Kaggle or competitive ML experience., • Familiarity with H2O.ai products, Wave, or H2O Document AI., • Experience in financial services, healthcare, or other regulated industry AI deployments., • Exposure to tabular foundation models, AutoML, or enterprise ML platforms., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team 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 to learn more. #LI-Hybrid Powered by JazzHR UnZQtem1uy

Job Description 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 . About This Opportunity H2O.ai is at a defining moment in the enterprise AI market. As organizations move from experimentation to production-scale predictive, generative, and agentic AI, the need for trusted, sovereign, enterprise-grade AI platforms has never been greater. We are hiring a VP of Sales Engineering for the Americas to lead the most strategic region for H2O.ai, driving technical win strategy across North America and LATAM, and shaping how enterprise AI is adopted at scale. This role is the technical backbone of our go-to-market engine and a key partner to the CRO, Sales, Product, and Engineering leadership. This position is based in Dallas, Texas. What You Will Do Lead the Americas SE Organization • Build, scale, and lead a high-performance Sales Engineering team across North America and LATAM, • Establish a culture of technical excellence, urgency, and accountability, • Design the operating model to support enterprise-scale deal velocity and complexityOwn the Technical Win Strategy for the Americas, • Drive KPIs across the region: win rates, POV/POC conversion, deal cycle velocity, and expansion influence, • Build repeatable frameworks for enterprise POVs tied to measurable business outcomes, • Partner with Sales leadership on territory design, deal strategy, and pipeline qualityBe the Executive Technical Advisor, • Engage directly with LOB’s, CIOs, CTOs, CDOs, and AI leaders at Fortune 500 organizations, • Translate AI capabilities into clear, quantified business impact, • Lead the technical strategy for our largest and most complex dealsArchitect Enterprise AI at Scale, • Guide customers across:, • Data ingestion and pipelines, • ML and LLM development, • RAG and agentic workflows, • Production deployment and observability, • Support architectures across cloud, hybrid, and fully air-gapped environmentsDrive Competitive Differentiation, • Equip the field to win on performance, trust, and enterprise readinessShape Product and Market Direction, • Act as the voice of the customer for the Americas, • Influence Product and Engineering based on real-world enterprise needs, • Ensure tight alignment between field execution and platform evolutionDrive Expansion and Long-Term Value, • Partner with Customer Success to ensure adoption, expansion, and retention Required • 12+ years in Sales Engineering, Solutions Architecture, or technical GTM leadership in AI/ML or enterprise software, • 5+ years leading and scaling high-performing SE teams, • Deep expertise in:, • Machine Learning, LLMs, RAG, and agentic AI, • Python and modern ML frameworks (e.g., PyTorch, scikit-learn, Spark), • Strong experience across AWS, Azure, GCP, and hybrid/on-prem architectures, • Proven success influencing C-level executives and winning complex enterprise deals, • Experience scaling SE teams in high-growth or transformation environments, • Background in regulated industries (Financial Services, Healthcare, Public Sector, Telco), • Familiarity with enterprise AI platforms (H2O.ai, Databricks, Snowflake, etc.), • Experience with value-based selling frameworks (MEDDPICC, Challenger, Force Management)Why H2O.ai, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations worldwide 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 to learn more. Powered by JazzHR CQKDSVv8W7

Job Description 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 . The Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. What You Will Do Agentic AI & LLM Engineering • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers., • Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use., • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety., • Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment., • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows., • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale., • Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions., • Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust., • Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders., • Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutions. What We Are Looking For Experience & Background • 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment., • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar., • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent)., • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps., • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM., • Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications., • Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality., • Kaggle or competitive ML experience., • Familiarity with H2O.ai products, Wave, or H2O Document AI., • Experience in financial services, healthcare, or other regulated industry AI deployments., • Exposure to tabular foundation models, AutoML, or enterprise ML platforms., • Prior experience in a customer-facing or field engineering role. Why H2O.ai • Build production AI systems alongside the world's top Kaggle Grandmasters., • Work on real enterprise problems across APAC's most innovative organizations., • Remote-friendly culture with a flexible, high-trust working environment., • Market-competitive total rewards package., • Clear pathways for growth into senior technical leadership, architecture, or research roles. 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 to learn more. #LI-Hybrid Powered by JazzHR sF5eyD1FgS

Job Description 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 . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in Dallas, Texas. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team 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 to learn more. #LI-Hybrid Powered by JazzHR Udz4nhSBg9

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