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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distinguished Technologist, Private Cloud AI - Applied & Agentic AI - **Company:** Hewlett-Packard Enterprise - **Location:** Andover, MA, United States - **Experience:** Experienced - **Salary:** $179,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Cloud Computing, Cloud Engineering, Software Design Patterns, Graph Database, Machine Learning, Open Source Technology, Software Engineering, Private Cloud Environment, Computer Network Operations, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, IT Architecture, Deep Learning, Generative AI, HybridCloud, Agentic-AI, Data Layers, AI Platforms, Kubernetes, Information Technology, AgentOps, Machine Learning Operations, Microservices - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/distinguished-technologist-private-cloud-ai-applied-agentic-ai-andover-ma--aad534d3-f5db-4274-8f6d-182fc3a7c0fc ## About the Role Artificial Intelligence (AI), Private Cloud, Hewlett-Packard Product Family, Analysis Skills, Cloud Computing, Private Cloud, Network Operations Center, Public Cloud, Software Development, Resource Utilization, * 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, using: * Cloud-native AI services and frameworks, open-source technologies, and third-party tools (e.g., observability, security, governance, data/feature platforms). * Minimum of 5 years of expert-level understanding of key AI technologies from public cloud providers, open source ecosystems, and third-party vendors. 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 (e.g., transformers, sequence models),. * Pre-training, fine-tuning, distillation, and alignment of models. Cloud, Platform, and Architecture Skills * Strong understanding of cloud-native architectures (containers, microservices, Kubernetes, service meshes) 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, including performance, scalability, reliability, and compliance considerations. 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, operating across product, engineering, sales, and services organizations. ## Description This role has been designed as ''Hybrid'' with a requirement that you will work on average 2 days per week from an HPE office., We are seeking a highly skilled Distinguished Technologist - Private Cloud AI development and advancement of the AI Software products. As a Distinguished Technologist within the Private Cloud AI group, you are a hands-on senior architect and AI leader who defines and delivers the future of AI for our private cloud offerings - one big idea at a time. You will provide deep technical expertise and leadership across PCAI's applied AI portfolio, spanning foundation models, generative and agentic AI, intelligent automation, and AI-powered experiences for private/hybrid cloud. 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 (reference architectures, design patterns, whitepapers, conference talks, and internal/external publications) to influence customers, partners, and internal stakeholders. * Mentor senior engineers and architects and provide technical leadership across engineering, applied science, and field organizations.