* 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.* 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 multiple technologies to include vector databases, graph, NOSQL and RDBMS systems* 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.* 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 (MLflow, Weights & Biases, LangSmith).* Experience with observability platforms like Prometheus, Grafana, or OpenTelemetry.HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: .**Hewlett Packard Enterprise**Technology innovation that fosters business transformation.We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives.Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.**COVID Policy**The health and safety of our team members, customers and partners is paramount at HPE. Accordingly, be fully vaccinated against COVID-19 by the employment start date where permitted by law. Exemptions based on medical, religious or other grounds will be processed and approved in accordance with local laws.**Standards of Business Conduct (SBC)**The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors.Read more about how we**Equal Opportunity Employer (EEO)**Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. Please click here: **.**If you’d like more information about your EEO right as an applicant under the law, please click here:**E-Verify** **(US & PR only)** HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information. You can also download the posters with information on legal rights and protection by clicking and .**Accessibility**Hewlett Packard Enterprise is committed to working with and providing reasonable accommodation to qualified, differently abled individuals. If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please email recruiting@hpe.com. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.**Disclosure of Sensitive Personal Data**Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.if applicable to the role you applied to, you must
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