Hewlett Packard Enterprise · 11 hours ago
AI-Automation Architect
All, California, United States of America
Full-time
Onsite
Senior Level, Lead/Staff
$172K/yr - $349K/yr
10+ years expHewlett Packard Enterprise is a global edge-to-cloud company that helps organizations connect, protect, analyze, and act on their data. They are seeking an AI-Automation Architect to drive the deployment of AI and automation technologies, enhancing productivity and operational efficiency within their Server Business Unit. The role involves collaborating with business leaders to identify automation opportunities and providing technical leadership throughout the automation lifecycle.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
Assess business processes and identify opportunities where automation and AI can remove manual effort and improve productivity
Define technical architectures for automation and AI solutions, covering workflow orchestration, data needs, integrations, and model or rules-based components
Advise stakeholders on feasibility, solution options, and expected impact; convert business requirements into clear technical designs
Work hands-on with engineering teams to ensure solutions are built, tested, and deployed correctly, providing guidance during implementation
Evaluate emerging AI and automation technologies, run proofs-of-concept, and recommend adoption where they add value
Conduct design reviews to ensure consistency, quality, and adherence to architectural standards across projects
Mentor engineers and contribute to building reusable patterns, best practices, and long-term automation strategies
Prepare concise technical documentation and executive-level presentations that clearly explain solution design and business impact
Qualification
Required
Bachelor's or master's degree in computer science, engineering, data science, AI, or related quantitative field
Typically 10–15 years of experience in automation architecture, AI/ML engineering, or enterprise solution design
Strong understanding of applied AI concepts, including supervised/unsupervised learning, NLP, conversational AI, embeddings, vector search, and rules-based automation
Hands-on experience integrating ML models and AI services into production systems; familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and modern LLM/agent tooling
Proficiency in Python and/or other engineering languages, with ability to produce maintainable code and automation logic
Experience designing data pipelines, performing data preparation, and ensuring data quality for automation and AI workloads
Demonstrated commitment to continuous learning and staying current with AI, automation, agentic frameworks, and orchestration technologies
Experience mentoring engineers, guiding design reviews, and influencing architectural decisions across teams
Strong communication skills for engaging stakeholders, explaining complex concepts, and aligning technical recommendations to business outcomes
Preferred
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
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
10001+ employees
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Antonio Neri
President & CEO
Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
Recent News
2026-01-20
2026-01-16
2026-01-16
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