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.