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AI/ML Senior Cloud Developer

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

What you’ll do:

Job Family Definition:

The AI/ML Expert Engineer designs and builds scalable, production-grade AI/ML solutions for mission-critical cloud applications. This role requires ownership of the complete machine learning lifecycle, including data analysis, feature engineering, model development, deployment, monitoring, and continuous improvement.

The engineer applies advanced technical expertise to architect, prototype, and implement AI/ML and GenAI-driven cloud solutions using modern MLOps practices for reliable, reproducible, and secure deployments.

Management Level Definition:

Applies advanced subject matter expertise to solve complex technical and business problems. Works independently on end-to-end AI/ML systems and contributes to architectural decisions. Provides technical leadership, mentors team members, and drives best practices across cross-functional teams.

Key Responsibilities

• Responsible for design and development of complex products and platforms, AI/ML based cloud applications. Solution design, analysis, coding, testing, and integration for building efficient, scalable and robust systems.
• Should know the AI/ML technologies and have hands-on experience with GenAI-based software development
• Define enterprise AI/ML architecture and technical strategy.
• Architect scalable GenAI, Agentic AI, RAG, and GraphRAG solutions.
• Establish AI governance, observability, evaluation, and best practices.
• Lead AI platform design, deployment standards, and operational excellence.
• Mentor engineers and drive innovation across AI initiatives.
• Evaluate and adopt emerging AI technologies and frameworks.
• Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards.
• Deploys code and troubleshoots issues in application modules and the deployment environment.
• Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members.
• Drives innovation and integration of new technologies into projects and activities in the software systems design organization.

What you need to bring:

Required Skills

• Strong programming skills in Python (Pandas, Scikit, NumPy ), Golang and Scripting.
• Advanced ML, DL, NLP, and LLM expertise
• Agentic AI, Multi-Agent Systems, RAG, GraphRAG
• Vector Databases and Hybrid Retrieval Architectures
• Knowledge Graph Databases (Dgraph, Neo4j, Neptune, etc.)
• AI Evaluation and Observability (Langfuse, Ragas, OpenTelemetry, Arize Phoenix)
• MLOps/LLMOps and AI Platform Engineering
• Kubernetes, Distributed AI Systems, Cloud AI Platforms
• AI Governance, Responsible AI, and Security
• Strong architecture, leadership, and stakeholder management skills
• AWS, Azure, or GCP

Education and Experience Required:

• Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline.
• Typically, 8-10 years’ hands-on experience in mentioned technologies,

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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Job:

Engineering

Job Level:

TCP_04

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

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