Jobs at H2O.ai

Design and deliver production AI solutions for enterprise customers, including agentic AI systems, LLM applications, RAG pipelines, ML services, APIs, and LLMOps infrastructure. Lead technical customer engagements, pre-sales initiatives, architecture decisions, delivery workstreams, and escalations. Collaborate with engineering and product teams, deploy solutions across cloud and on-premises environments, establish responsible AI controls, and mentor junior engineers while ensuring measurable business outcomes.

Supports day-to-day accounting operations, including accounts payable, travel and expense processing, cash management, bank reconciliations, prepaids, accruals, journal entries, and month-end close. Maintains vendor records, assists with 1099 reporting, audits, compliance, forecasting, and internal controls. Partners cross-functionally to ensure accurate expense classification and invoice processing while identifying automation and ERP improvement opportunities.

Supports accounts payable, travel and expense processing, cash management, bank reconciliations, month-end close, journal entries, vendor records, 1099 reporting, and financial audits. Partners cross-functionally to ensure accurate expense classification and invoice processing, contributes to cash forecasting and internal controls, and identifies automation and ERP optimization opportunities.

Supports accounts payable, travel and expense processing, cash management, bank reconciliations, prepaids, accruals, journal entries, month-end close, vendor records, and 1099 reporting. Partners cross-functionally to ensure accurate expense classification and invoice processing, contributes to forecasting and internal controls, assists with audits, and supports automation and ERP improvements. The role requires general accounting expertise, ERP and procure-to-pay system experience, US GAAP knowledge, and advanced Excel skills.

Develop and deploy predictive and generative AI solutions for enterprise and public-sector clients. Responsibilities include data exploration, feature engineering, statistical modeling, model validation, interpretation, forecasting, classification, optimization, anomaly detection, and GenAI applications using LLMs, RAG, and agentic workflows. The role also involves stakeholder engagement, executive presentations, enablement programs, business problem framing, and collaboration with engineering teams on productionization.

Leads end-to-end AI and machine learning solution delivery for enterprise customers across APAC. Manages and mentors AI engineers and data scientists, oversees staffing and concurrent engagements, and guides predictive ML, GenAI, LLM, RAG, and agentic system architecture. Partners with customers and internal teams on technical strategy, delivery risks, scoping, and reusable accelerators while remaining hands-on with prototyping, code reviews, debugging, deployment, monitoring, and governance.

Designs and delivers production-grade AI solutions, including agentic systems, LLM applications, RAG pipelines, fine-tuned models, backend APIs, ML pipelines, and LLMOps infrastructure. The role involves customer-facing solution development, cloud and on-premise deployment, proof-of-concept delivery, responsible AI controls, and collaboration with technical and business stakeholders across enterprise engagements.

Build AI agents, skills, MCP integrations, automations, dashboards, and go-to-market systems. Connect HubSpot and Salesforce, automate SEO, content publishing, event lead capture, and competitive intelligence workflows. Develop tested Python tools using LLM APIs, SQL, REST APIs, webhooks, and GitHub workflows. Partner with go-to-market leadership to scope and rapidly ship production-ready solutions.

Lead AI and machine learning engineering activities for customers, partners, and prospects. Advise on GenAI/ML solutions, architect end-to-end workflows from data ingestion through deployment, lead proofs of concept, support customer delivery, and manage and mentor a team of AI and machine learning engineers. The role also involves pre-sales support, consultative solution design, technical presentations, and stakeholder engagement.

Manage global payroll accounting across multiple geographies and outsourced providers. Review payrolls, process payments, prepare journal entries, reconcile payroll accounts, monitor tax and labor compliance, support 401(k) administration and audits, analyze payroll costs, address employee questions, and assist with month-end close and corporate and statutory audits.

Deploys and optimizes secure, scalable AWS and Kubernetes environments for enterprise customers. Builds infrastructure automation with Terraform, Ansible, and CloudFormation; maintains CI/CD pipelines, observability, security controls, and production Kubernetes systems. Troubleshoots Linux, container, networking, and distributed-system issues, supports customer deployments and incidents, translates technical requirements into implementation plans, and collaborates with customer-facing and internal engineering teams.

Lead technical pre-sales for enterprise AI and machine learning solutions. Responsibilities include customer discovery, solution architecture, AI/ML and GenAI demonstrations, proof-of-value projects, agentic workflow design, cloud and on-premises deployment planning, MLOps guidance, executive presentations, and customer-driven product feedback. The role supports strategic accounts across industries and requires travel up to 50%.

Designs, deploys, and operates secure, scalable AWS and Kubernetes environments for enterprise customers. Builds infrastructure-as-code automation, CI/CD pipelines, observability, and production release processes. Troubleshoots Linux, containers, networking, and distributed systems while improving reliability, security, and performance. Partners directly with customers and internal teams on technical requirements, deployment architecture, incident resolution, and continuous improvement.

The AI Engineer will develop and deploy AI applications, collaborate on the end-to-end pipeline, create backend services, and develop frontend interfaces.