Senior AI Engineer

  

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

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

HPE Galway are seeking a highly skilled Senior AI Engineer to join our growing AI team and lead the development of cutting-edge AI-driven applications. You will be responsible for designing, building, and optimizing large language model (LLM) systems, retrieval-augmented generation (RAG) frameworks, and advanced AI solutions to power our core products.

Reporting to the Director of Innovation in the Hybrid Cloud Chief Technology organisation, you will be a team player with experience at mentoring junior engineers.

Key Responsibilities:

Design and develop AI-driven applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and Graph RAG architectures

Implement and optimize RAG techniques for improved knowledge retrieval and contextual reasoning

Build and maintain graph-based AI solutions using modern frameworks like LangGraph, PydanticAI, and LangChain

Develop and deploy Model Context Protocol (MCP) servers for seamless data integration across various sources

Design scalable vector database solutions using Pinecone, Weaviate, or similar technologies

Integrate Google Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocols for multi-agent workflows

Collaborate with cross-functional teams to translate business requirements into technical AI solutions

Maintain high code quality standards and implement comprehensive testing strategies

What you’ll need:

Required Education and Experience:

Bachelor’s degree in computer science, AI/ML or related technology

Minimum of 8+ years of work experience in cloud based and/or open source software development

3+ years of experience in AI/ML engineering with a focus on LLMs and knowledge retrieval systems

Strong hands-on experience with LLM frameworks: LangChain, LangGraph, PydanticAI, or similar

Proven experience implementing RAG systems and vector databases (PostgreSQL with pgvector, Pinecone, FAISS, Weaviate, Chroma)

Proficiency in Python with deep knowledge of ML libraries (PyTorch, TensorFlow, Transformers)

Experience with Model Context Protocol (MCP) server development and deployment

Understanding of Google ADK and A2A protocol implementations

Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services

Experience with prompt engineering, fine-tuning, and LLM optimization techniques

Preferred Knowledge and Experience:

Experience with multi-agent architectures and agent orchestration frameworks

Knowledge of graph-based AI and knowledge graph construction

Familiarity with LLMOps tools (LangSmith, Weights & Biases, MLflow)

Experience with enterprise-scale AI deployments and monitoring

Understanding of AI safety, alignment, and responsible AI practices

Contributions to open-source AI/ML projects

Technical Environment:

Frameworks: LangChain, LangGraph, PydanticAI, Transformers

Vector Databases: Pinecone, Weaviate, FAISS, Chroma, PgVector

Cloud Platforms: AWS, Azure, Google Cloud Platform

LLM APIs: OpenAI, Anthropic, Google Gemini, Azure OpenAI

Development: Python, Docker, Kubernetes, Git

Monitoring: LangSmith, Langfuze, Weights & Biases, Prometheus

Additional Skills:

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)

What We Can Offer You:

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Engineering

Job Level:

TCP_04

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

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.