Senior Manager - Lead AI Architect - Control Intelligence

About the role

We're looking for an experienced Lead AI Software Architect to lead a team of domain architect experts in designing and implementing AI Agent Control. This role involves extensive experience in agent control, including tool usage, state management/persistence, execution environment control, policy definition and application, multiagent API and anomaly detection.

Responsibilities

• Design of control harness intelligence systems including multiagent systems and associated tools and scaffolding.
• Architectures for agent identity and authentication in large scale multi-agent enterprise systems.
• Post training and customization/tuning environments including federated learning.
• Implement and test these architectures benchmarking performance against agent and human designed evals.
• Drive agent design requirements and implement through AI Native design process.
• Assess 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.
• Lead a team of experts in building a universal agentic control harnesses.

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. 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.

Attributes for Success

• Strong analytical and troubleshooting skills.
• Ability to lead software architectural product functions and mentor junior engineers.
• Comfort working across cross-functional teams and managing competing priorities.
• Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long-term engagement.
• Use critical thinking and creative reasoning to address complex problems and exceed expectations.
• Align cross-functional teams around shared goals, ensuring accountability and progress.
• Use emotional intelligence and hybrid collaboration to motivate others and deliver high-impact results.