Principal Engineer - AI Architect

Job summary

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.

Benefits

Qualifications

• If you are looking to stretch and grow your career our culture will embrace you.
• 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
• 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.

Responsibilities

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

Skills

Degrees

Industry

Company size