Principal Engineer - AI Architect
AI summary of the role
This is a senior technical leadership role at HPE, responsible for designing and overseeing end-to-end AI systems that align with business objectives.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design end-to-end AI systems (data ingestion → model deployment → UI).
- Define AI roadmap aligned with organizational goals and identify high-impact AI use cases.
- Design AI system architecture including data pipelines, model lifecycle, and orchestration.
- Enforce data privacy, ethical AI practices, and implement guardrails for LLMs.
What you’ll bring
- Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
- Typically 10+ years’ experience.
- Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.
- Proficiency in Python and API integration.
Technologies
Python · Java · Node.js · TensorFlow · PyTorch · Hugging Face · Docker · Kubernetes · AWS · Azure · GCP · MLOps
About Hewlett Packard Enterprise
Enterprise infrastructure company selling servers, hybrid cloud, storage, AI systems, and AI-native networking, differentiated by GreenLake consumption and Juniper/Aruba stack.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
an AI Architect a senior technical leader responsible for designing and overseeing end-to-end AI systems that align with business objectives. This role bridges business strategy and technical execution, ensuring scalability, security, and compliance across AI solutions. Should have Good Networking knowledge Responsibilities: Design end-to-end AI systems (data ingestion → model deployment → UI). Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness. Strategic Planning & Business Alignment Define AI roadmap aligned with organizational goals. Identify high-impact AI use cases and assess ROI. Engage stakeholders early for feasibility and governance. Architecture & System Design Design AI system architecture (data pipelines, model lifecycle, orchestration). Integrate AI with enterprise apps and internal systems. Ensure scalability, fault tolerance,
More from the job description
Principal Engineer - AI Architect 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: We are seeking an AI Architect a senior technical leader responsible for designing and overseeing end-to-end AI systems that align with business objectives. This role bridges business strategy and technical execution, ensuring scalability, security, and compliance across AI solutions. Should have Good Networking knowledge Responsibilities: Design end-to-end AI systems (data ingestion → model deployment → UI). Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness. Strategic Pl [... source excerpt omitted ...] uardrails for LLMs and prompt safety. Collaborate with security teams for risk mitigation. Cross-Functional Leadership Mentor engineers and data scientists. Translate business requirements into technical tasks. Drive collaboration across product, data, and operations teams. Education and Experience Required: Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline. Typically, 10+ years’ experience. Knowledge and Skills: Programming & Software Engineering: Python, Java, Node.js; API design; microservices. Cloud & Distributed Systems: AWS, Azure, GCP; container orchestr [... source excerpt omitted ...] ortunity/ 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
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