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About the Role

We are 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 with extensive experience in agent control, including tool usage, state management/persistence, execution environment control, policy definition and application, multi-agent API, and anomaly detection. Experience in agent authentication, observability, telemetry, and authorization logging design is also in scope. These capabilities will form a universal control harness for managing agentic systems, including post-training and customization/tuning environments, and federated learning. Implementation of agent personas and types for agent design is also included. The candidate should thrive in fast-paced environments and be passionate about enabling scalable AI solutions.

Responsibilities

Design of control harness intelligence systems including multi-agent 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.

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.
Experience with large-scale cross functional software development projects.
Excellent communication and leadership abilities.

Skills

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.
Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.
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.

Location

Anywhere in Country

Work Type

Hybrid

Experience Level

10+ years of experience in software engineering and AI

Education Level

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Salary/Compensations

$125,500 to $230,200 (US)
$150,700 to $261,600 (New York City Metro Area, Washington State and California)

Benefits

Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities.