Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise izstrādā uzņēmumu tehnoloģijas organizācijām, kas izmanto hibrīdās mākoņvides un mākslīgā intelekta vadītus procesus. Tās produktu klāstā ietilpst HPE ProLiant serveri un HPE Cray augstas veiktspējas skaitļošanas risinājumi, HPE Alletra datu glabāšanas risinājumi, HPE Aruba tīklu risinājumi, mākslīgā intelekta platformas un pilnībā gatavas mākslīgā intelekta rūpnīcas, kā arī GreenLake risinājumi kā pakalpojums. HPE nodrošina arī tādas drošības iespējas kā Zero Trust un SASE, kā arī profesionālos, konsultāciju un atbalsta pakalpojumus, kas palīdz lielām organizācijām modernizēt infrastruktūru, pārvaldīt datu centru vidi un ieviest mākslīgo intelektu plašā mērogā.

Principal Cloud and AI Innovation Developer

Lead cloud-native and generative AI innovation at Hewlett Packard Enterprise. Shape incubation solutions, guide engineering teams, and build scalable services for cloud, datacenter, and edge environments.

Apraksts

  • Contribute senior technical expertise to complex AI and cloud-native incubation work.
  • Design and deliver key components of proposed solutions.
  • Guide cross-disciplinary teams of up to six engineers from concept through development.
  • Assess and integrate emerging software technologies and generative AI frameworks.
  • Build and validate microservices and cloud-native systems for public cloud, datacenter, and edge deployments.
  • Help shape architecture for scalability, performance, security, and reliability.
  • Work with internal customers, technical leads, and business stakeholders.
  • Run research investigations, proofs of concept, and experiments.
  • Develop quality software using AI-assisted coding alongside sound testing, validation, CI/CD, and observability practices.
  • Coach colleagues in advanced software engineering and AI.
  • Manage several concurrent projects and shift focus as needed.

Prasības

  • Bachelor’s or master’s degree in computer science, information systems, AI/ML, or a related technical discipline.
  • Typically 10–15 years of software development experience.
  • At least 3–5 years working on cloud-native and AI/ML systems.
  • Strong Python programming skills.
  • Experience with machine learning libraries such as PyTorch, TensorFlow, and Transformers.
  • In-depth knowledge of distributed systems, microservices, and event-driven architectures.
  • Practical experience with Kubernetes, Docker, REST APIs, and cloud-native application development.
  • Experience building generative AI solutions with LLMs, RAG, LangGraph, or comparable frameworks.
  • Working knowledge of vector databases, graph databases, NoSQL, and relational database systems.
  • Experience deploying cloud solutions on AWS, Azure, or Google Cloud Platform.
  • Strong understanding of AI governance, security alignment, and responsible AI principles.
  • Proficiency in Agile methods, including Scrum or Kanban.
  • Experience contributing to large-scale cloud service development.
  • Experience with multi-agent systems and agent orchestration frameworks.
  • Knowledge of developing Model Context Protocol (MCP) servers.
  • Understanding of Google ADK and A2A protocol implementations.
  • Knowledge of designing, building, and querying knowledge graphs.
  • Familiarity with ML Ops tools such as MLflow, Weights & Biases, and LangSmith.
  • Experience with observability platforms such as Prometheus, Grafana, or OpenTelemetry.

Priekšrocības

  • Benefits designed to support physical, financial, and emotional wellbeing.
  • Programs for personal and professional growth.
  • Flexible work arrangements to help balance work and personal needs.
  • An inclusive workplace culture.
  • Variable incentives may be available.

Saistītās vakances

General Motors

Staff Cloud Platform Engineer

General Motors

Build and evolve General Motors’ internal cloud platform, control plane, and runtime. Improve Kubernetes-based developer workflows, reliability, and software delivery at scale.

Atvērt
Toast

Staff Cloud Security Engineer at Toast (Hybrid, US)

Toast

Lead cloud security strategy and protect Toast’s AWS infrastructure and services. Oversee CNAPP, CSPM, IAM, Kubernetes security, and incident response.

Atvērt
Hewlett Packard Enterprise

Principal Cloud and AI Innovation Developer at Hewlett Packard Enterprise

Hewlett Packard Enterprise

Lead incubation projects that build cloud-native AI solutions at Hewlett Packard Enterprise. Work across generative AI, distributed systems, and microservices.

Atvērt
The Clorox Company

Senior Azure Data Architect

The Clorox Company

Shape Clorox’s governed Azure, Fabric, and Databricks platforms for enterprise analytics and AI. Lead data modernization, semantic modeling, and architecture standards.

Atvērt
Elevance Health

Principal Cloud Engineer, AI/ML

Elevance Health

Lead development of production AI agents, cloud platforms, and FinOps tools for Elevance Health’s healthcare business. This hybrid role focuses on secure enterprise architecture and application transformation.

Atvērt