Principal Architect

Principal Architect - GenAI & Enterprise Automation

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

**Who We Are**:
**_
Job Family Definition:_**

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.

**_ Management Level Definition:_**

**_ Responsibilities: _**
- Develops organization-wide architectures and methodologies for software systems design and development across multiple platforms and organizations within the Global Business Unit.
- Identifies and evaluates new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value; creates plans for integration and update into architecture.
- Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, outsourced development partners, and industry standards groups.
- Provides guidance and mentoring to less
- experienced staff members to set an example of software systems design and development innovation and excellence.
- Integrate with organizational data and workflows for Copilot
- Establish Prompt Engineering Frameworks with Copilot.
- Enable custom Copilots with internal knowledge, fine-tuned LLMs, and responsible usage practices.
- Enable Agentic Automation with Federated Governacne model to bring AI into Everyday business operation
- Lead scalable automation through reusable components, design principles, and CoE enablement.
- Reinforce an AI First mindset
- Create accelerators, secure connectors, and templates to maximize reuse and reduce development cost.
- Develop enterprise-grade intelligent agents using GPT-4, Azure OpenAI, and multimodal inputs.
- Use Power Platform/Azure Foundry for Agentic Automation Builder to design memory-enabled, context-aware, self-improving digital workers.
- Coordinate agent performance, feedback loops, and continuous learning systems for long-term automation scalability.
- Define Responsible AI frameworks, architecture repositories, and compliance guardrails.
- Work with Cybersecurity, Privacy, Risk, and Enterprise Architecture to establish scalable AI/automation governance.
- Ensure AI observability, auditability, and ethical usage in alignment with future regulatory standards.
- Drive hybrid AI strategies using LLM models like (GPT-4, Microsoft Phi-3, Mistral, or open-source LLMs) for optimized performance-cost balance.
- Define blueprint libraries and reference architectures for AI, Copilot, and automation reusability.
- Establish knowledge portals, onboarding kits, and internal handbooks to accelerate skill development.
- Partner with Microsoft, and other vendors for early previews, pilots, and enterprise POCs.
- Drive platform enablement with custom accelerators and reusable deployment pipelines.
- Track and communicate transformation value with executive dashboards, and ROI metrics.

**_ Education and Experience Required: _**
- Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
- Typically, 10+ years' experience.

**_ Knowledge and Skills: _**
- Experience designing and developing software systems design tools and languages.
- Excellent analytical and problem-solving skills.
- Experience in overall architecture of software systems for products and solutions.
- Designing and integrating software systems running on multiple platform types into overall architecture.
- Evaluating and selecting forms and processes for software systems testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
- History of innovation with multiple patents or deployed solutions in the field of software design.
- Excellent written and verbal communication skills; mastery in English and local language.
- Ability to effectively communicate product architectures, design proposals and negotiate options at business unit and executive levels.
- Deep expertise in Copilot, Azure OpenAI, Power Platform, and LLMs.
- Experience aligning AI strategy with tangible business outcomes and innovation KPIs.
- Proven track record in large-scale platform adoption and CoE governance.
- Excellent executive storytelling, stakeholder engagement, and change management skills.
- Fluency in Responsible AI, data privacy, cybersecurity, and risk frameworks.

**Additional Skills**:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development,