Senior Manager - Lead AI Architect - Control Intelligence

About the role

We're looking for a 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.

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.
• 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.
• 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 ensure 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.
• Experience with 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…).
• 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.

What We Offer

• Comprehensive compensation and benefits package.
• Flexible vacation policy.
• Opportunities for professional growth and development.
• A supportive and inclusive workplace culture.