Agentic AI Engineer, Vice President

State Street is building an enterprise agentic AI platform within its GenAI Center of Excellence, and this Vice President role will help set the strategy and architecture that governs how multi-agent systems are built, operated, and scaled. Based in Quincy, MA with a hybrid work model, you will lead engineering talent and drive reliability, security, governance, and cost optimization across AWS, Google Cloud, and Azure.

This position owns the technical direction for multi-agent orchestration and platform standards, spanning runtime security, A2A protocols, and HITL practices. You will also represent the Agent Foundry and Runtime pods in executive and cross-functional governance discussions, shaping cloud adoption and enterprise delivery.

Key Responsibilities

• Own enterprise agentic platform strategy, including architecture, technology roadmap, and governance standards, focused on multi-cloud scalability and resilience across AWS, Google Cloud, and Azure.
• Bring exposure to agent frameworks such as LangChain, Langraph, and GoogleADK, and drive innovation in multi-agent orchestration at scale.
• Set and monitor organizational standards for multi-agent orchestration, including A2A protocols, HITL, tenant IAM/RBAC, and runtime security across cloud platforms.
• Represent the Agent Foundry and Runtime pods in executive and cross-functional governance forums to influence cloud adoption and strategy.
• Drive platform-wide reliability, scalability, and cost optimization initiatives for agentic AI workloads across AWS, Google Cloud, and Azure.
• Build, lead, and develop engineering leadership talent across the pods.
• Partner with Architecture, Data/Knowledge, and Product teams to align end-to-end platform strategy and delivery with cloud and agentic stack adoption.
• Foster innovation and continuous improvement by promoting technical excellence and emerging best practices for cloud-native agentic platforms.
• Oversee compliance, risk, and performance reviews for agentic AI at the organizational level across public cloud environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; advanced degrees a plus.
• 12–17 years of relevant experience, including leadership of large-scale, multi-agent or AI-driven platforms.
• Proficiency in Python and familiarity with at least one additional modern language such as Java, Go, or C++.
• Proven strategic ownership of platform architecture and technology roadmaps, with deep knowledge of agentic AI systems.
• Extensive hands-on and leadership experience with multi-cloud environments (AWS, Google Cloud, Azure), including security, governance, and cost optimization.
• Demonstrated success setting organizational standards for reliability, scalability, and incident management in AI systems.
• Experience partnering with executive and cross-functional teams on platform strategy and delivery.
• Track record of building and developing engineering leadership talent and fostering innovation.
• Expertise in compliance, risk management, and performance oversight for enterprise AI solutions.
• Exceptional communication, governance, and stakeholder management skills.

Technologies

• Python, Java, Go, C++
• AWS, Google Cloud, Azure
• LangChain, Langraph, GoogleADK
• A2A protocols, HITL, IAM/RBAC

Benefits

• 401K with company match
• Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
• Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
• Access to the Employee Assistance Program
• Incentive compensation including eligibility for annual performance-based awards
• Eligibility for certain tax advantaged savings plans

Location & Work Schedule

• Quincy, MA (hybrid)
• Requires regular on-site presence in Boston, MA; Austin, TX; or Princeton, NJ

Compensation

• $120,000 - $217,500 annual
• The range quoted above applies to the role in the primary location specified; if the candidate ultimately works outside of the primary location, the applicable range could differ.

Job application disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.