Engineering Manager: Generative AI & Enterprise Platforms

Hewlett Packard Enterprise Company in

San Juan (PR)

Hybrid

USD 150,000 - 230,000

Full time

8 days ago

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Job summary

Hewlett Packard Enterprise seeks a Software Engineering Manager to guide a multidisciplinary team building secure, scalable enterprise products powered by Generative AI and large language models. You will lead AI platforms, frontend experiences, AWS cloud work, and quality engineering with a focus on responsible AI.

You will manage staff in a hybrid setting, collaborate with onshore and offshore partners, and shape product strategy while delivering rapid experimentation at production scale.

Qualifications

  • Prospective candidate will lead a multidisciplinary engineering team across AI, frontend, cloud and quality engineering.
  • Experience partnering with distributed teams and driving organizational impact with governance and security.
  • Proven track record delivering GenAI-powered enterprise products at scale.

Responsibilities

  • People/organizational leadership with clear ownership and succession planning.
  • Translate customer needs into roadmaps, staffing plans, milestones, and releases.
  • Enable rapid agile execution with risk management and transparent reporting.
  • Prototype fast, then productize secure, production-ready features.
  • Define technical direction for architecture, quality, and responsible AI.
  • Ensure security, reliability, and observability across platforms.
  • Align stakeholders across onshore/offshore teams and drive end-to-end accountability.
  • Balance engineering investment with customer value and platform reuse.

Skills

Multidisciplinary leadership
Distributed leadership
GenAI & Frontend
Cloud & Networking
Quality Engineering
Product Delivery
Stakeholder Leadership
Responsible AI

Education

Advanced degree in CS/ML/AI

Tools

AWS
Kubernetes
React JS
CI/CD

Job description

Hewlett Packard Enterprise seeks a Software Engineering Manager to guide a multidisciplinary team building secure, scalable enterprise products powered by Generative AI and large language models. You will lead AI platforms, frontend experiences, AWS cloud work, and quality engineering with a focus on responsible AI.

You will manage staff in a hybrid setting, collaborate with onshore and offshore partners, and shape product strategy while delivering rapid experimentation at production scale.

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