# Distinguished Technologist, Private Cloud AI - Applied & Agentic AI

**Company**: Hewlett Packard Enterprise
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Salary**: USD 179,500 - 358,500 in Colorado // 194,000 - 388,000 in Massachusetts // 194,000 - 412,500 in California // 170,000 - 412,500 in North Carolina & Texas
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Jose-California/Distinguished-Technologist--Private-Cloud-AI_1203997-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d59f8f96-e06

## Description

We are seeking a highly skilled Distinguished Technologist – Private Cloud AI for the development and advancement of AI Software products. As a Distinguished Technologist within the Private Cloud AI group, you will be a hands-on senior architect and AI leader who defines and delivers the future of AI for our private cloud offerings.

**Strategy, Architecture & Design**

- Lead AI architecture and technical design workshops with internal teams and customers to shape PCAI’s applied and agentic AI strategy.

- Define customer-ready AI architectures for private and hybrid cloud – spanning models, runtimes, knowledge/semantic layers, security, governance, and observability.

- Evaluate and select ISV partner technologies for the AI platform stack, develop TCO and roadmap options, and drive key architectural decisions for PCAI products and customer solutions.

- Design multi-agent, LLMOps/AgentOps, and AI security/governance blueprints, ensuring performant, reliable, and trustworthy AI systems.

**Implementation & Technical Leadership**

- With partnership with PCAI Architecture team, set the Architecture direction of AgentOps/LLMOps, AI Governance, AI Security, and AI Observability capabilities in PCAI offerings.

- Build reusable AI components and agents and partner with engineering to take POCs into scalable, production-grade services.

- Troubleshoot and optimize AI systems at scale and establish best practices for model lifecycle, evaluation, and responsible AI.

- Recommend design optimizations and improvements for performance, cost efficiency, reliability, and trustworthiness.

- Create and present high-impact technical content to influence customers, partners, and internal stakeholders.

- Mentor senior engineers and architects and provide technical leadership across engineering, applied science, and field organizations.

**Experience and Skills**

- Bachelor's degree in computer science or relevant field

- At least 15+ years of progressive technical leadership and architectural experience.

- Minimum of 2 years of experience designing and implementing scaled Agentic AI and Generative AI solutions that are in production/operations.

- Minimum of 2 years of experience designing and implementing agentic AI and Generative AI platforms and frameworks that are used by multiple AI solutions, products, or teams.

- Minimum of 5 years of experience designing, engineering, and operationalizing large-scale AI/ML solutions on at least one large public cloud platform.

**Technical Depth (AI/ML and GenAI)**

- Hands-on experience with foundation models and large language models (LLMs).

- Building and optimizing RAG pipelines, multi-agent systems, and tool-using agents.

- Architecting knowledge graphs and semantic layers to support AI agents and domain-specific reasoning.

- Implementing AI security, governance, and observability in production environments.

- Modern deep learning architectures.

**Cloud, Platform, and Architecture Skills**

- Strong understanding of cloud-native architectures and hybrid/private cloud patterns.

- Proven track record architecting and deploying mission-critical, highly distributed, large-scale platforms or SaaS.

- Experience integrating AI workloads into production-grade infrastructure.

**Leadership & Collaboration**

- Demonstrated ability to lead through influence, drive architectural decisions, and align multiple teams around a cohesive technical vision.

- Excellent communication skills, able to engage executives, architects, engineers, and customers on complex technical topics and trade-offs.

- Comfortable working in a global, distributed, and highly cross-functional environment.

## Skills

### Required
- AI architecture
- technical design
- Agentic AI
- Generative AI
- cloud-native architectures
- hybrid/private cloud patterns
- large-scale AI/ML solutions
- public cloud platforms
- foundation models
- large language models (LLMs)
- RAG pipelines
- multi-agent systems
- tool-using agents
- knowledge graphs
- semantic layers
- AI security
- governance
- observability

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Jose-California/Distinguished-Technologist--Private-Cloud-AI_1203997-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)