Distinguished Technologist – Private Cloud AI, Applied & Agentic AI

Jobtailor; California (MO); On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor seeks a senior Lead AI Architect to steer architecture across private and hybrid cloud deployments. You will design scalable Agentic AI and Generative AI solutions, mentor teams, and drive technical decisions for PCAI products and customer solutions.

In this role, you will lead architecture workshops, evaluate partner technologies, and define blueprints for AI security, governance, and observability, while shaping roadmaps and TCO analyses for strategic AI initiatives.

Qualifications

• Bachelor's degree in CS or related field.
• 15+ years of technical leadership and architecture experience.
• 2+ years designing scaled Agentic AI and Generative AI in production.
• 2+ years designing agentic AI platforms used by multiple solutions/teams.
• 5+ years building large-scale AI/ML on at least one major cloud.
• 5+ years deep knowledge of AI tech from cloud providers/open-source/vendors.
• Hands-on with foundation models and LLMs.
• Experience with RAG pipelines, multi-agent systems, tool-using agents.
• Knowledge graphs and semantic layers experience.
• AI security/governance/observability in production.
• Deep learning architectures incl. transformers/sequence models.
• Pre-training, fine-tuning, distillation, and model alignment.
• Cloud-native architectures: containers, microservices, Kubernetes, service meshes.
• Proven track record deploying mission-critical, distributed platforms.
• Ability to lead through influence and drive decisions.
• Excellent communication across executives, engineers, customers.

Responsibilities

• Lead AI architecture and technical design workshops with internal teams and customers.
• Define customer-ready AI architectures for private and hybrid cloud.
• Evaluate and select ISV partner technologies for AI platform stack.
• Develop TCO and roadmap options and drive architectural decisions for PCAI products.
• Design multi-agent, LLMOps/AgentOps, and AI security/governance blueprints.
• Set architecture direction for AgentOps/LLMOps, AI Governance, AI Security, and AI Observability capabilities.
• Build reusable AI components and agents with engineering to productionize them.
• Troubleshoot and optimize AI systems at scale.
• Establish best practices for model lifecycle, evaluation, and responsible AI.
• Recommend design optimizations for performance, cost, reliability, and trustworthiness.
• Create and present technical content including reference architectures, whitepapers, talks, and publications.
• Mentor senior engineers and architects; provide technical leadership across orgs.

Skills

AI architecture

Technical leadership

Cloud platforms

LLMOps/AgentOps

AI security/governance

Pipeline design

DevOps/Kubernetes

Executive communication

Education

Bachelor's degree in computer science

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

• Lead AI architecture and technical design workshops with internal teams and customers
• Define customer-ready AI architectures for private and hybrid cloud
• Evaluate and select ISV partner technologies for the AI platform stack
• Develop TCO and roadmap options and drive architectural decisions for PCAI products and customer solutions
• Design multi-agent, LLMOps/AgentOps, and AI security/governance blueprints
• Set architecture direction for AgentOps/LLMOps, AI Governance, AI Security, and AI Observability capabilities
• Build reusable AI components and agents and partner with engineering to productionize them
• Troubleshoot and optimize AI systems at scale
• Establish best practices for model lifecycle, evaluation, and responsible AI
• Recommend design optimizations for performance, cost efficiency, reliability, and trustworthiness
• Create and present technical content, including reference architectures, design patterns, whitepapers, conference talks, and publications
• Mentor senior engineers and architects
• Provide technical leadership across engineering, applied science, and field organizations

Requirements

• Bachelor's degree in computer science or relevant field
• At least 15+ years of progressive technical leadership and architectural experience
• Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions in production/operations
• Minimum 2 years designing and implementing agentic AI and Generative AI platforms and frameworks used by multiple AI solutions, products, or teams
• Minimum 5 years designing, engineering, and operationalizing large-scale AI/ML solutions on at least one large public cloud platform
• Minimum 5 years of expert-level understanding of AI technologies from public cloud providers, open-source ecosystems, and third-party vendors
• Hands-on experience with foundation models and LLMs
• Experience building and optimizing RAG pipelines, multi-agent systems, and tool-using agents
• Experience architecting knowledge graphs and semantic layers
• Experience implementing AI security, governance, and observability in production environments
• Experience with modern deep learning architectures, including transformers and sequence models
• Experience with pre-training, fine-tuning, distillation, and model alignment
• Strong understanding of cloud-native architectures, including containers, microservices, Kubernetes, and service meshes
• Proven track record architecting and deploying mission-critical, highly distributed, large-scale platforms or SaaS
• Experience integrating AI workloads into production-grade infrastructure
• Ability to lead through influence and drive architectural decisions
• Excellent communication skills for engaging executives, architects, engineers, and customers
• Comfortable working in a global, distributed, cross-functional environment

Core Competencies

Demonstrates expertise in AI architecture, including the design and implementation of scalable Agentic AI and Generative AI solutions. Proven ability to lead technical workshops, mentor teams, and drive architectural decisions across engineering and applied science domains.