Distinguished Technologist, Private Cloud AI

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. 

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, 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.