Senior AI & Data Engineer

The Senior AI & Data Engineer is an individual contributor role that acts as the technical subject matter expert at the intersection of AI engineering and data engineering. This is a uniquely dual-domain role: the successful candidate bridges the organization’s data strategy with its AI agenda, ensuring that intelligent systems are built on a foundation of governed, high-quality, well-architected data.
On the AI side, this role designs and delivers end-to-end production-grade AI products — architecting multi-agent frameworks, fine-tuning and evaluating LLMs, building robust ML pipelines, and ensuring AI solutions are scalable, explainable, and responsibly governed. On the data side, this role defines the data architecture, transformation standards, and quality frameworks that make those AI products possible — owning the data platform across Databricks, Microsoft Fabric, and Collibra.
Beyond individual delivery, this role provides technical leadership across cross-functional initiatives, defines engineering standards for both AI and data engineering practice, and leads the Applied AI Engineer and AI Data Engineer. The ideal candidate brings deep expertise across the full stack: from classical machine learning and modern generative AI through to data architecture, governance, and pipeline engineering — with the communication skills to translate that expertise into measurable business impact.
 

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  Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, Mathematics, or a related technical discipline; PhD is a plus.

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  7 – 10 years of hands-on experience in AI/ML engineering, applied data science, or LLM engineering roles.

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  Proven track record of delivering production AI systems — not just prototypes — with measurable business impact.

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  Deep expertise with at least two major LLM platforms (Claude, GPT, Gemini, or equivalent), including evaluation and integration at scale.

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  Significant experience with Collibra or an equivalent enterprise data governance platform

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  Demonstrated experience leading cross-functional AI initiatives and mentoring junior engineers.

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  Strong ML fundamentals alongside modern generative AI skills — able to operate across both paradigms.

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  Experience with responsible AI practices, including fairness auditing, explainability, and content safety, is strongly preferred.

• LLM Engineering - Anthropic Claude API, OpenAI GPT API, Microsoft Copilot / Azure OpenAI; advanced prompt engineering, function-calling, structured outputs, LLM evaluation frameworks, fine-tuning (LoRA, PEFT, instruction tuning), RLHF / DPO concepts

• Agentic Frameworks - LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI; multi-agent orchestration, tool routing, memory management, reflection and self-correction patterns

• RAG & Vector Search - Advanced RAG patterns, embedding models, vector databases, chunking strategy design

• Machine Learning - Scikit-learn, XGBoost, LightGBM, HuggingFace Transformers, PyTorch; NLP, time-series, anomaly detection, classification, regression; model explainability (SHAP, LIME), fairness and bias assessment

• Programming - Python (expert), SQL (advanced); familiarity with TypeScript / JavaScript; REST API design, FastAPI; async programming patterns

• Cloud & Architecture - Azure (primary): Azure OpenAI Service, Azure ML, AKS, Azure Functions, APIM; solution architecture documentation; cost and performance optimization

• Data Science & Statistics - Experimental design, hypothesis testing, causal inference, Bayesian methods, statistical modelling; feature engineering, data leakage prevention, cross-validation strategies

• AI Governance & Ethics - Responsible AI principles, model explainability standards, bias / fairness auditing, AI risk assessment, prompt injection mitigation, content safety controls

• Reporting & BI - Power BI (advanced DAX, semantic models), ability to translate model outputs into executive-ready visualizations

• Leadership & Collaboration - Technical mentoring, architecture review, design documentation, cross-functional stakeholder communication

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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.

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.

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.

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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