Software Engineering Manager - Generative AI & Enterprise Platforms

About the role

Hewlett Packard Enterprise is seeking a Software Engineering Manager to lead a multidisciplinary team building secure, scalable enterprise products powered by Generative AI and large language models. The team includes principal and senior engineers across AI platforms, model customization, React-based generative user experiences, AWS cloud and networking, and quality engineering. The role is hybrid, with about two days per week spent in an HPE office.

Key responsibilities

• Build, coach, retain and grow an inclusive, accountable team with clear ownership and succession planning.
• Translate customer and product needs into outcomes, roadmaps, staffing plans, milestones, dependencies, acceptance criteria and incremental releases.
• Enable rapid feedback, disciplined prioritization, risk management, transparent reporting and effective re-planning.
• Support fast experimentation and proofs of concept, then move validated ideas into production-ready products.
• Partner with senior technical leaders on architecture, quality, security, accessibility, responsible AI, testing, observability, CI/CD and technical debt.
• Ensure strong AI and software validation, governance, privacy, service reliability, incident management and capacity planning.
• Coordinate product, engineering, security, business, onshore and offshore leaders through shared metrics and end-to-end accountability.

Required profile

• Advanced degree in Computer Science, Machine Learning, Artificial Intelligence or a related discipline.
• 15+ years of relevant industry experience and 5+ years of people management.
• Experience managing and scaling teams across AI, frontend, cloud, networking and quality engineering.
• Experience leading geographically distributed teams, supported by agile, cloud, security, AI/ML or leadership training or certification.

Required skills

• Building products with LLMs, RAG, agents and React JS
• AWS AI services, Kubernetes, infrastructure automation, observability, distributed systems, EVPN, VXLAN, BGP, Netconf, Restconf, gRPC, SNMP, LLDP
• Test automation, AI evaluation, performance and scale testing, release readiness
• Requirements clarity, roadmaps, prioritization, risk management, POC-to-production delivery
• LLM and RAG evaluation, adversarial testing, prompt-injection risks, responsible AI and production monitoring

What we offer

• Benefits supporting physical, financial and emotional wellbeing for team members and their loved ones.
• Programs for personal and professional development.
• An inclusive workplace with flexibility to manage work and personal needs.