Distinguished Technologist - Private Cloud AI, Applied & Agentic AI

We areseekinga highly skilledDistinguished Technologist– Private Cloud AIdevelopment 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 technicalexpertiseand 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 teamsand customersto shapePCAI’s applied and agentic AI strategy. 

• Definecustomer readyAI architecturesfor private and hybrid cloud – spanning models, runtimes, knowledge/semantic layers, security, governance, and observability.

• Evaluate and selectISVpartnertechnologies 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, ensuringperformant, reliable, and trustworthy AI systems.

Implementation & Technical Leadership 

• With partnership withPCAIArchitecture team, settheArchitecturedirectionofAgentOps/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 andoptimizeAI systems at scale andestablishbest practices for modellifecycle, 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 architectsand 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 andarchitectural experience.

• Minimum of2 yearsof experiencedesigning and implementing scaled Agentic AI and Generative AI solutionsthat are in production/operations.

• Minimum of2 yearsof experiencedesigning and implementing agentic AI and Generative AI platforms and frameworksthat are used by multiple AI solutions, products, or teams. 

• Minimum of5 yearsof experiencedesigning, engineering, andoperationalizinglarge‑scale AI/ML solutionson 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 of5 yearsofexpert‑level understanding of key AI technologiesfrom public cloud providers,open sourceecosystems, and third‑party vendors. 

Technical Depth (AI/ML and GenAI)

Hands‑on experience with:

• Foundation models and large language models (LLMs).

• Building andoptimizingRAG pipelines, multi‑agent systems, and tool‑using agents.

• Architectingknowledge graphs and semantic layersto support AI agents and domain‑specific reasoning.

• ImplementingAI security, governance, and observabilityin 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 ofcloud‑native architectures(containers, microservices, Kubernetes, service meshes) andhybrid/private cloudpatterns. 

• Proventrack recordarchitecting and deployingmission‑critical, highly distributed, large‑scale platforms or SaaS. 

• Experience integrating AI workloads intoproduction‑grade infrastructure, including performance, scalability, reliability, and compliance considerations. 

Leadership & Collaboration 

• Demonstrated ability tolead through influence, drive architectural decisions, and align multiple teams around a cohesive technical vision. 

• Excellent communication skills, able to engageexecutives, architects, engineers, and customerson complex technical topics andtrade‑offs. 

• Comfortable working in aglobal, distributed, and highly cross‑functional environment,operatingacross product, engineering, sales, and services organizations.