Qureos Mentor

H2O.ai

<div>Founded in 2012, H2O.ai is on a mission to democratize AI. As the world&rsquo;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&mdash;secure, compliant, and infrastructure-flexible deployments&mdash;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&amp;T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. 
 
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst &amp; Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai&rsquo;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.
Technical Program Manager - Forward Deployed AI Engineering Team, Charlotte
About H2O.ai
H2O.ai is the leading AI cloud company, on a mission to democratize AI for everyone. Trusted by more than 20,000 global organisations - including AT&amp;T, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Kaiser Permanente, Procter &amp; Gamble, PayPal, PwC, and Walgreens - with Goldman Sachs, NVIDIA, and Wells Fargo as strategic investors. Our world-class team includes the top 30 Kaggle Grandmasters globally, driven by a strong AI-for-Good ethos. Join our movement at www.H2O.ai.
The Opportunity
We are looking for a Technical Program Manager who operates at the intersection of AI delivery, customer success, and strategic growth. Reporting to the Vice President of Field Technology, APAC, you will be the connective tissue between H2O.ai's AI capabilities and our customers' business outcomes - orchestrating programs, deepening relationships, and driving measurable expansion.
This is not a traditional PM role. You will be expected to speak the language of AI practitioners, challenge customers to think bigger, and leverage AI tools yourself to accelerate program delivery, generate insights, and communicate with impact. You will own the full customer lifecycle - from onboarding through renewal and growth - across some of APAC's most strategic enterprise accounts.
What You Will Do
AI-Augmented Program Management<ul><li>
Own end-to-end delivery of AI and platform programs - from scoping and planning through deployment, adoption, and expansion.</li><li>
Use AI tools and automation to accelerate program reporting, risk identification, stakeholder communications, and executive updates.</li><li>
Establish and monitor KPIs tied to platform stability, usage, adoption velocity, and business value realisation.</li><li>
Develop governance frameworks that scale across multiple concurrent engagements without sacrificing quality.</li></ul>
Stakeholder Management &amp; Executive Communication<ul><li>
Build trusted advisor relationships with C-suite stakeholders, business unit leaders, and technical champions across customer organizations.</li><li>
Navigate complex stakeholder landscapes - balancing competing priorities, managing escalations, and aligning diverse interests around shared outcomes.</li><li>
Prepare and deliver compelling executive narratives: business reviews, program status updates, and value realization reports tailored to C-level audiences.</li><li>
Serve as H2O.ai's primary voice to the customer - representing our roadmap, capabilities, and strategic direction with clarity and confidence.</li></ul>
Customer Success &amp; Growth<ul><li>
Drive platform adoption and usage as the primary lever for renewal and expansion - proactively identifying whitespace and new use case opportunities.</li><li>
Partner with Account Executives and Solution Engineers on commercial conversations, renewal strategy, and upsell positioning.</li><li>
Monitor customer health signals and deploy proactive interventions before issues become escalations.</li><li>
Champion the voice of the customer internally - synthesizing feedback to influence product roadmap and delivery priorities.</li></ul>
Technical Delivery &amp; Coordination<ul><li>
Coordinate cross-functional delivery teams - including Kaggle Grandmasters, ML engineers, platform engineers, and system integrators - to ensure on-time, high-quality program execution.</li><li>
Provide informed oversight of AI platform installations, data pipeline deployments, and model production environments.</li><li>
Translate complex technical concepts into business language for non-technical stakeholders, and vice versa.</li></ul>
Strategic Leadership &amp; Evangelism<ul><li>
Lead pre-sales program design for high-impact enterprise opportunities, shaping the delivery approach from the earliest stages of the sales cycle.</li><li>
Represent H2O.ai at customer briefings, industry events, and executive engagements as a credible AI practitioner and delivery leader.</li><li>
Contribute to delivery frameworks, playbooks, and toolkits that raise the bar for program management across the Field Technology team.</li></ul>
What We Are Looking For
Experience &amp; Background<ul><li>
5+ years in program management, customer success, or delivery leadership within AI, data science, analytics, or enterprise technology.</li><li>
Proven track record managing strategic enterprise accounts - driving adoption, renewal, and expansion in complex, multi-stakeholder environments.</li><li>
Hands-on experience delivering AI or ML programs in production, ideally including model deployment, MLOps, or data platform rollouts.</li><li>
Experience working with or alongside system integrators, platform engineers, and data science teams on large-scale technical programs.</li></ul>
Skills &amp; Capabilities<ul><li>
Exceptional stakeholder management - comfortable at the C-suite level and able to build trusted advisor relationships across technical and business audiences.</li><li>
Strong command of AI and ML concepts - able to engage credibly with practitioners without needing to be an expert in every technique.</li><li>
Executive communication skills: distilling complex program status into crisp, compelling narratives for senior audiences.</li><li>
Proficiency using AI tools to enhance personal productivity - drafting communications, synthesising insights, automating reporting, and generating analysis.</li><li>
Sharp analytical and problem-solving instincts around program risk, delivery bottlenecks, and customer health.</li><li>
Highly organised, independently driven, effective across multiple concurrent programs.</li></ul>
Nice to Have<ul><li>
Experience with financial services, healthcare, or other regulated industry AI deployments.</li><li>
Familiarity with H2O.ai products, AutoML, LLMs, generative AI, or agentic AI workflows.</li><li>
Prior pre-sales or solution consulting experience in an enterprise AI or analytics context.</li><li>
PMP, PRINCE2, or equivalent certification.</li></ul>
Why H2O.ai<ul><li>
Work at the frontier of enterprise AI with some of the world's best ML practitioners.</li><li>
Drive programs that directly shape how leading APAC enterprises adopt and scale AI.</li><li>
Remote-friendly culture with a flexible, high-trust working environment.</li><li>
Market-competitive total rewards package.</li><li>
Clear pathways for career growth into senior leadership, sales, or technical roles.</li><li>
Mission-driven company building AI for Good.</li></ul>
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&rsquo;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&rsquo;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&rsquo;s purpose.
Please visit www.H2O.ai to learn more.
#LI-Hybrid 

bFmeOV1cIK</div>

Technical Program Manager

<div>Founded in 2012, H2O.ai is on a mission to democratize AI. As the world&rsquo;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&mdash;secure, compliant, and infrastructure-flexible deployments&mdash;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&amp;T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. 
 
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst &amp; Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai&rsquo;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
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 Chicago, Illinois.
What You Will Do
Agentic AI &amp; LLM Engineering<ul><li>
Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers.</li><li>
Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use.</li><li>
Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety.</li><li>
Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best of it into customer engagements.</li></ul>
End-to-End AI Application Development<ul><li>
Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment.</li><li>
Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows.</li><li>
Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale.</li><li>
Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production.</li></ul>
Customer Engagement &amp; Delivery<ul><li>
Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions.</li><li>
Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust.</li><li>
Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders.</li><li>
Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutions.</li></ul>
What We Are Looking For
Experience &amp; Background<ul><li>
3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.</li><li>
Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar.</li><li>
Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent).</li><li>
Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes).</li></ul>
Skills &amp; Capabilities<ul><li>
Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.</li><li>
Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM.</li><li>
Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications.</li><li>
Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality.</li><li>
Clear communicator who can explain complex AI systems to non-technical stakeholders without oversimplifying.</li></ul>
How to Stand Out From the Crowd<ul><li>
Kaggle or competitive ML experience.</li><li>
Familiarity with H2O.ai products, Wave, or H2O Document AI.</li><li>
Experience in financial services, healthcare, or other regulated industry AI deployments.</li><li>
Exposure to tabular foundation models, AutoML, or enterprise ML platforms.</li><li>
Prior experience in a customer-facing or field engineering role.</li></ul>
Why H2O.ai?<ul><li>
Market leader in total rewards</li><li>
Remote-friendly culture</li><li>
Flexible working environment</li><li>
Be part of a world-class team</li><li>
Career growth</li></ul>
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&rsquo;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&rsquo;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&rsquo;s purpose.
Please visit www.H2O.ai to learn more.
#LI-Hybrid 

5fmdQVXVd5</div>

Senior AI Engineer

Join H2O.ai and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

H2O.ai

About Company

Technical Program Manager

Senior AI Engineer