AI-Automation Architect

AI-Automation Architect

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

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.

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

Education and Experience 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.

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.

#unitedstates

Job:

Engineering

Job Level:

TCP_05

    

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 172,000 - 349,000 in California // 152,000 - 349,000 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

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.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.