6 дней назад
Software Engineering Manager – Generative AI & Enterprise Platforms
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineering Manager – Generative AI & Enterprise Platforms (Generative AI/LLMs): Leading a multidisciplinary engineering team building secure, scalable enterprise products powered by generative AI and large language models with an accent on people leadership, product delivery, and technical direction. Focus on transitioning experiments into production-ready platforms, establishing responsible AI and quality standards, and coordinating distributed engineering, product, security, and business stakeholders.
Location: Hybrid, with an average requirement of 2 days per week in an HPE office.
Company
is a global edge-to-cloud technology company developing solutions that connect, protect, analyze, and act on data and applications.
What you will do
- Build, coach, retain, and grow an inclusive multidisciplinary engineering team across AI, frontend, cloud, networking, and quality engineering.
- Translate customer and product needs into outcomes, roadmaps, staffing plans, milestones, dependencies, acceptance criteria, and incremental releases.
- Enable agile execution, rapid feedback, prioritization, risk management, transparent reporting, and re-planning as requirements evolve.
- Guide experimentation and proofs of concept through transition into secure, maintainable, production-ready enterprise products.
- Partner with senior technical leaders on architecture, security, accessibility, responsible AI, testing, observability, CI/CD, documentation, and technical debt.
- Coordinate product, engineering, security, business, onshore, and offshore stakeholders while managing dependencies, operational excellence, and broader engineering strategy.
Requirements
- 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.
- Experience managing and scaling teams across AI, frontend, cloud, networking, and quality engineering.
- Experience building products with LLMs, RAG, agents, and React; knowledge of AWS AI services, Kubernetes, infrastructure automation, observability, and distributed systems architecture.
- Understanding of advanced networking protocols and technologies, including EVPN, VXLAN, BGP, IP Clos fabrics, Netconf, Restconf, gRPC, SNMP, and LLDP.
- Experience with test automation, AI evaluation, performance and scale validation, network validation, release readiness, responsible AI, adversarial testing, prompt-injection risks, and production monitoring.
Culture & Benefits
- Comprehensive health, financial, and emotional wellbeing benefits for employees and their loved ones.
- Personal and professional development programs supporting career growth and internal opportunities.
- Inclusive workplace that values varied backgrounds and individual uniqueness.
- Flexible approach to managing work and personal needs within a hybrid work model.
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