Distinguished Technologist, Private Cloud AI - Applied & Agentic AI

What you'll do

• Define AI architectures and strategy for private and hybrid cloud, including agent platforms, governance, security, and observability.
• Build reusable AI components and agents with engineering teams, bringing proofs of concept into scalable production services.
• Provide technical leadership, mentor engineers and architects, and publish technical content for customers, partners, and internal teams.

What they ask for

• Bachelor's degree in computer science or a relevant field.
• At least 15+ years of progressive technical leadership and architectural experience.
• At least 2 years designing and implementing scaled Agentic AI and Generative AI solutions in production/operations, and at least 2 years building platforms and frameworks used across multiple solutions, products, or teams.
• At least 5 years designing, engineering, and operationalizing large-scale AI/ML solutions on a large public cloud platform; at least 5 years of expert-level understanding of AI technologies across public cloud providers, open-source ecosystems, and third-party vendors.

Pay

USD 179,500 - 358,500 (base salary, Colorado); USD 194,000 - 388,000 (base salary, Massachusetts); USD 194,000 - 412,500 (base salary, California); USD 170,000 - 412,500 (base salary, North Carolina & Texas)

Tools

foundation models, large language models (LLMs), RAG, Kubernetes, containers, microservices, knowledge graphs, semantic layers

AI focus

Applied, generative, and agentic AI for private and hybrid cloud, including multi-agent systems, AI platforms, model lifecycle, governance, security, and observability.