Manager, AI Engineering
Applied AIonsitemanager
At a glance
Highlights
- Lead GenAI and ML delivery to help customers ship real AI projects.
- Architect value-based AI solutions from data ingestion to deployment.
- Manage and mentor AI engineers driving customer success and growth.
What they offer
- Market-leading total rewards
- Remote-friendly, flexible working environment
- World-class team with career growth opportunities
Ideal candidate
Consultative, customer-obsessed AI leader who loves advising clients, storytelling with data, and coaching engineers to deliver real-world GenAI impact.
Requirements
- Bachelor's/Master's in Computer Science, Mathematics, Physics, Engineering, Statistics or related quantitative field
- Minimum 5 years pre-sales GenAI/ML sales engineering experience in customer-facing role
- Strong Python and ML libraries expertise with end-to-end ML pipeline deployment
- Experience with cloud architectures (AWS, Azure, GCP) and Kubernetes
- Excellent verbal and written communication with consultative selling skills
- Self-starter comfortable traveling up to 50%
- remote policy
- remote-friendly
Lab profile
About H2O.ai
Leading agentic AI company converging generative and predictive AI for private-data agents and SLMs
What they build
- Purpose-built AI agents
- Small language models (SLMs)
- GenAI applications for private data
Known for
- Sovereign AI deployments
- Secure and compliant AI
- Infrastructure-flexible platform
- Open-source technology
Key facts
- Founded in 2012
- Technology trusted by 20,000+ organizations
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