Principal Innovation Developer – Cloud & AI
About The Position
As an Innovation Engineer in Hewlett Packard Enterprise’s Hybrid Cloud CTO organization, this senior individual-contributor role drives complex, high-impact incubation projects involving AI, cloud-native architectures, and emerging software technologies. Working with technical leads and cross-functional partners, the role designs, implements, and validates advanced solutions that support HPE’s transformation and deliver innovative capabilities to internal teams and external customers. The position combines hands-on software development with architectural leadership. It applies expertise in distributed systems, Generative AI, microservices, and cloud technologies to build robust, scalable, and secure services. The role also advances new concepts, evaluates emerging technologies, and maintains technical excellence across multiple projects. The position is hybrid, with an expectation of working an average of 2–3 days per week from an HPE office; the posting also describes the hybrid arrangement as an average of 2 days per week.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or a related technical field.
- Typically 10–15 years of software development experience, including at least 3–5 years focused on cloud-native and AI/ML systems.
- Strong programming proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, and 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 databases, NoSQL systems, and relational database management systems.
- Experience deploying cloud solutions on AWS, Azure, or GCP.
- Strong understanding of AI governance, security alignment, and responsible AI principles.
- Proficiency in Agile development methodologies, including Scrum or Kanban.
- Experience contributing to large-scale cloud service development environments.
Nice To Haves
- Experience with multi-agent systems and agent orchestration frameworks.
- Knowledge of Model Context Protocol (MCP) server development.
- Understanding of Google ADK and A2A protocol implementations.
- Knowledge graph design, construction, and querying.
- Familiarity with ML Ops tools such as MLflow, Weights & Biases, and LangSmith.
- Experience with observability platforms such as Prometheus, Grafana, or OpenTelemetry.
Responsibilities
- Serve as a senior technical contributor on complex AI and cloud-native incubation projects, owning the design and implementation of key components.
- Lead teams of up to 5–6 engineers across multiple disciplines through the full concept-development lifecycle, collaborating with multiple stakeholders.
- Evaluate and integrate emerging software technologies, including Generative AI frameworks such as LLMs, RAG, LangGraph, Knowledge Graphs, ADK, and A2A.
- Design, build, and validate microservices and cloud-native systems deployed across public cloud, datacenter, and edge environments.
- Contribute to technical architecture decisions to ensure solutions meet scale, performance, security, and reliability requirements.
- Collaborate with internal customers, technical leads, and business stakeholders to align emerging technologies with strategic objectives.
- Conduct research spikes, proofs of concept, and experiments to evaluate feasibility and technical trade-offs.
- Implement high-quality code using best practices for AI-assisted code generation, testing, validation, CI/CD, and observability.
- Mentor team members at all levels and share knowledge on advanced software and AI topics.
- Work across multiple parallel projects in a dynamic environment with frequent context switching.
Benefits
- Comprehensive benefits intended to support physical, financial, and emotional wellbeing for employees and their loved ones.
- Career-development programs designed to help employees pursue career goals and develop expertise.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
