Senior Manager - Lead AI Architect - Control Intelligence
About The Position
We’re hiring an experienced Lead AI Software Architect to lead a team of domain architect experts in designing and implementing AI Agent Control. This role is for a software AI leader who has built Agent control including tool usage, state management/persistence, execution environment control, policy definition and application, multiagent API and anomaly detection. Extensive experience in agent authentication, observability, telemetry and authorization logging design is also in scope for this role. These capabilities will be a universal control harness for managing agentic systems. Managing post training and customization/tuning environments including federated learning. Using Implementation of agent personas and types for agent design is in scope as well. The candidate should thrive in fast-paced environments and are passionate about enabling scalable AI solutions.
Requirements
- Advanced degree in Electrical Engineering, Computer Science or Mathematics.
- 10+ years of experience in software engineering and AI.
- Experience working with multi-agent system administration and modern secrets management.
- Use of AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub)
- Familiarity with scripting languages (Python, Bash, Typescript etc….) and software languages (Go, Rust, Java etc….).
- Understand AI Native design process and principles
- Experience with cryptographic methods of identity and auth.
- Experience with modern software IDE, CI/CD pipeline, modern code hosting and collaboration (Github/Gitlab/Azure DevOps etc…)
- Experience with Nvidia NVAIE, AWS and MSFT Azure AI stacks.
Nice To Haves
- Experience with large-scale cross functional software development projects.
- Excellent communication and leadership abilities.
Responsibilities
- Design of control harness intelligence systems including multiagent systems and associated tools and scaffolding.
- Design architectures for agent identity and authentication in large scale multi-agent enterprise systems.
- Design of post training and tuning/customization environments.
- Design of synthesis models for AI open-source models.
- Implement and test these architectures benchmarking performance against agent and human designed evals.
- Design comprehensive AI Agent control frameworks.
- Drive agent design requirements and implement through AI Native design process.
- Assess through primary and secondary research emerging agent authorization architectures and frontier model proposals.
- Collaborate with other architectural experts in AI, Security, Data and Infrastructure to insure balanced and practical outcomes.
- Support strategic business development activities for emerging technology as required.
- Present at academic conferences and support development of IP filings
- Hands on development of the advanced AI capabilities in agentic control.
- Lead a team of experts in building a universal agentic control harnesses.
Benefits
- medical and dental coverage
- pension and 401(k) plans
- a wide range of paid time off options
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What This Job Offers
Job Type
Full-time
Career Level
Senior
