Principal AI Engineer — Enterprise AI Systems

h2o.ai

Dallas (TX)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly culture
Flexible working environment
Be part of a world-class team
Career growth

Job summary

H2O.ai seeks a Principal AI Engineer in Dallas to design and ship end‑to‑end AI solutions for enterprise customers. You will lead customer engagements, architect agentic AI systems, and deploy LLM‑powered applications across cloud and on‑prem environments.

You will mentor teams, collaborate with product and engineering, and ensure production‑grade reliability and safety in AI solutions. This role combines hands‑on engineering with strategic customer leadership.

Qualifications

  • 8+ years hands‑on AI/ML engineering with production deployment.
  • Experience leading technical delivery across complex enterprise engagements.
  • Experience building LLM‑powered applications (RAG, agentic workflows, fine‑tuned models).
  • Strong Python engineering skills and ML frameworks (PyTorch, TensorFlow, scikit‑learn).
  • Experience deploying AI services in cloud or on‑prem environments.

Responsibilities

  • Lead end‑to‑end technical engagements with enterprise customers as the senior delivery lead.
  • Coordinate multi‑stream delivery with cross‑functional teams and stakeholders.
  • Serve as primary technical escalation point for customer issues and risk management.
  • Mentor junior ML engineers and solution engineers within engagements.
  • Collaborate with product and engineering teams to surface feedback and resolve issues.

Skills

Python engineering
LLM concepts
Delivery leadership
Executive communication
Cloud deployments

Tools

Docker
Kubernetes
LangChain
LlamaIndex
PyTorch
TensorFlow
scikit-learn

Job description

H2O.ai seeks a Principal AI Engineer in Dallas to design and ship end‑to‑end AI solutions for enterprise customers. You will lead customer engagements, architect agentic AI systems, and deploy LLM‑powered applications across cloud and on‑prem environments.

You will mentor teams, collaborate with product and engineering, and ensure production‑grade reliability and safety in AI solutions. This role combines hands‑on engineering with strategic customer leadership.

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