Hewlett Packard Enterprise-posted 10 days ago
Full-time • Mid Level
Onsite • Spring, TX
5,001-10,000 employees

AI-Automation Architect This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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 transforming the way the Server Business Unit executes in the Age of AI. Our customers demand greater agility, faster time-to-market, and differentiated value from their HPE product experiences. To do this, we are seeking an AI-Automation Architect to play a key role in deploying AI and automation technologies to help our internal teams work smarter. This senior individual contributor role is responsible for identifying, shaping, and delivering automation and AI solutions across key operational process areas in the Business Unit. The role partners directly with business leaders to understand pain points, evaluate workflow bottlenecks, and determine where advanced automation, machine learning, and intelligent orchestration can meaningfully improve speed, accuracy, and productivity. Acting as a trusted consultant, the architect translates business objectives into automation opportunities, builds clear value cases, and ensures that technology is applied in a way that frees employees to focus on higher-value, creative, and strategic work. This role provides technical leadership across the automation lifecycle, from solution design and architecture through deployment and scaling. The architect defines solution patterns, selects appropriate technologies, and produces technical designs that guide development teams. They collaborate closely with engineers to ensure solutions are implemented as intended, meeting performance, security, and governance standards. The position requires strong communication skills, a deep understanding of AI and automation platforms, and the ability to operate as both an advisor and a hands-on technical problem solver.

  • 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
  • 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.
  • 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
  • Health & Wellbeing 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.
  • Personal & Professional Development 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.
  • Unconditional Inclusion 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.
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