Enterprise AI Data Scientist: Autonomous Modernization at Scale
Listed on 2026-07-26
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer
We're building the AI platform that transforms how the world's largest enterprises modernize autonomously, continuously, and e build something that actually matters.
We're not building another SaaS dashboard. We're rearchitecting how trillion-dollar industries run their technology, with AI.
You won't be fine-tuning prompts for chatbots. You'll architect AI agents that autonomously transform enterprise applications s is the hard, consequential AI work: the kind that ends up in patents and research papers.
We operate with a flat decision-making structure. You'll take end-to-end responsibility for real deliverables, from scoping through deployment, on enterprise engagements that matter. Accountability is built in from the start.
Global Impact, Startup VelocityOur technology runs inside some of the world's largest organizations across three continents. We move at startup speed with enterprise-grade responsibility. What you build will be trusted with critical infrastructure.
The Platform
The Stack That's Changing Enterprise AICHAI™ is Cloud Hedge's patented Agentic AI platform. Every role you take on here directly contributes to one or more of these capabilities.
AI-powered application portfolio intelligence. Discover, map, and score entire enterprise estates in hours, not months.
Deep Analysis
Tri-Vector analysis across runtime, source code, and infrastructure for complete, risk-scored application understanding.
Automated Modernization
AI agents that autonomously transform, containerize, and deploy modernized workloads at enterprise scale. No human in every loop.
New
CHAI Compass™Strategic Roadmaps
Data-driven modernization roadmaps aligned to business objectives, executive timelines, and enterprise risk tolerance.
Open Positions
Join the TeamFour high-impact roles for people who want to build AI systems that enterprises actually rely on. Not demos, not pilots. Production.
Product AI Product Manager7-9 yrs
Turn complex AI capabilities into enterprise products that get adopted, and trusted with critical workloads.
You'll DoOwn product roadmap Customer discovery Data-driven decisions
You'll Need7+ yrs in Product AI/ML background Enterprise exp.
3-5 yrs
Build production AI agents that run on Fortune 500 infrastructure. Not notebooks, not sandboxes. Real load, real stakes.
You'll Do You'll Need Machine Learning Engineer3-6 yrs
Train the models behind CHAI™'s code understanding, risk scoring, and transformation recommendations: the intelligence layer beneath the agents.
You'll Do You'll Need Data Data Scientist3-6 yrs
Turn enterprise application data into intelligence that predicts modernization outcomes and gives CIOs confidence to act.
You'll DoPredictive modeling Graph analytics Executive narratives
You'll NeedPython / SQL Time-series & graphs Business impact focus
Ready to Build SomethingThat Matters?
Four open roles. One mission. If you want to work on AI that enterprises actually trust with their most critical systems, we want to hear from you.
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