Principal Engineer - AI Architect

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.

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.

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.

• Design end-to-end AI systems (data ingestion → model deployment → UI).
• Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness.

• Define AI roadmap aligned with organizational goals.
• Identify high-impact AI use cases and assess ROI.
• Engage stakeholders early for feasibility and governance.

• Design AI system architecture (data pipelines, model lifecycle, orchestration).
• Integrate AI with enterprise apps and internal systems.
• Ensure scalability, fault tolerance, and cost efficiency.

• Select appropriate ML/DL models and frameworks (Tensor Flow, PyTorch).
• Define versioning, fine-tuning, and deployment strategies.
• Implement CI/CD for ML pipelines and monitoring.

• Enforce data privacy, ethical AI practices, and audit trails.
• Implement guardrails for LLMs and prompt safety.
• Collaborate with security teams for risk mitigation.

• Mentor engineers and data scientists.
• Translate business requirements into technical tasks.
• Drive collaboration across product, data, and operations teams.

• 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.

• Programming & Software Engineering:
  Python, Java, Node.js; API design;
  microservices.
• Cloud & Distributed Systems: AWS, Azure, GCP; container orchestration. (desirable)
• Technical Expertise.
• Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.
• Proficiency in Python and API integration
  .
• AI/ML Expertise:
  Model selection, NLP frameworks like Tensor Flow, PyTorch, Hugging Face.
• Experience with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).
• System design for distributed AI applications.
• Data architecture (ETL, feature stores, vector databases).
• Security and compliance for AI systems.
• Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.

• Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

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…