Hybrid Cloud AI Innovation Architect

Hewlett Packard Enterprise; Fort Collins (CO); Hybrid; USD 166,000 - 314,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Principal Innovation Developer to drive AI and cloud-native incubation projects. You will design, build, and validate scalable microservices and collaborate across teams to deliver innovative capabilities.

The role demands hands-on development, architectural leadership, and a strong background in distributed systems and Generative AI, with 2–3 days per week in an HPE office in a hybrid setup.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or related field
• 10–15 years of software development experience, with 3–5 years in cloud-native and AI/ML
• Proficient in Python with ML libraries (PyTorch, TensorFlow, Transformers)

Responsibilities

• Serve as a senior technical contributor on AI and cloud-native incubation projects
• Lead teams of engineers through full concept development lifecycle
• Evaluate and integrate emerging software technologies including Generative AI frameworks
• Design, build, and validate microservices deployed across public cloud, data center, and edge
• Contribute to architecture decisions for scalable, secure, reliable systems
• Mentor team members and collaborate with stakeholders
• Conduct research spikes and proofs-of-concept
• Implement code with CI/CD and observability practices

Skills

Python

ML libraries

Distributed systems

Kubernetes

Docker

REST APIs

Generative AI

AI governance

Education

Bachelor’s or Master’s degree in Computer Science/AI/ML

Tools

Kubernetes

Docker

CI/CD

Cloud platforms (AWS/Azure/GCP)

Job description

Hewlett Packard Enterprise seeks a Principal Innovation Developer to drive AI and cloud-native incubation projects. You will design, build, and validate scalable microservices and collaborate across teams to deliver innovative capabilities.

The role demands hands-on development, architectural leadership, and a strong background in distributed systems and Generative AI, with 2–3 days per week in an HPE office in a hybrid setup.