Senior AI & Cloud Innovation Engineer

Hewlett Packard Enterprise; Durham (NC); Hybrid; USD 157,000 - 361,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an Innovation Engineer in our Hybrid Cloud CTO organization. You will lead advanced incubation projects in AI, cloud-native architectures, and emerging software tech, blending hands-on development with architectural leadership.

You will guide a team of engineers across multiple disciplines, implement scalable microservices, and ensure security and performance. A strong background in Python, ML libraries, and cloud deployment is essential for this role in a

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or related technical field.
• Typically 10-15 years of software development experience, with at least 3-5 years focused on cloud-native and AI/ML systems.
• Strong programming proficiency in Python and experience with ML libraries (PyTorch, TensorFlow, Transformers).
• Deep understanding of distributed systems, microservices, and event-driven architectures.
• Hands-on experience with Kubernetes, Docker, REST APIs, and cloud-native application development.
• Experience implementing Generative AI solutions using LLMs, RAG, LangGraph, or similar frameworks.
• Working knowledge of vector databases, graph, NOSQL and RDBMS.
• Experience deploying cloud solutions on AWS, Azure, or GCP.
• Strong understanding of AI Governance and Security alignment, and responsible AI principles.
• Proficiency in Agile development methodologies, including Scrum or Kanban.
• Experience contributing to large-scale cloud service development environments.

Responsibilities

• Serve as a senior technical contributor on complex AI and cloud-native incubation projects, owning design and implementation of key components.
• Lead teams of up to 5-6 engineers of multiple disciplines through the full lifecycle of concept development while collaborating with multiple stakeholders.
• Evaluate and integrate emerging software technologies, including Generative AI frameworks (LLMs, RAG, LangGraph, Knowledge Graphs, ADK, A2A).
• Design, build, and validate microservices and cloud-native systems deployed across public cloud, datacenter, and edge environments.
• Contribute to technical architecture decisions, ensuring solutions meet requirements for scale, performance, security, and reliability.
• Collaborate closely with internal customers, technical leads, and business stakeholders to align emerging technologies with strategic objectives.
• Conduct research spikes, proofs-of-concept, and experiments that evaluate feasibility and technical trade-offs.
• Implement high-quality code following best practices in AI assisted code generation (GitHub CoPilot), testing, validation, CI/CD, and observability.
• Provide mentorship and knowledge-sharing to team members of all levels on advanced software and AI topics.
• Work effectively across multiple parallel projects in a dynamic environment with frequent context switching.

Skills

Python

ML libraries (PyTorch, TensorFlow)

Distributed systems

Kubernetes

Docker

REST APIs

Generative AI

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or related technical field

Tools

Kubernetes

Docker

REST APIs

Job description

Hewlett Packard Enterprise is seeking an Innovation Engineer in our Hybrid Cloud CTO organization. You will lead advanced incubation projects in AI, cloud-native architectures, and emerging software tech, blending hands-on development with architectural leadership.

You will guide a team of engineers across multiple disciplines, implement scalable microservices, and ensure security and performance. A strong background in Python, ML libraries, and cloud deployment is essential for this role in a