Agentic AI Engineer, Vice President

State Street•Quincy, MA
•Hybrid

About The Position

State Street is hiring a Vice President of Agentic AI Engineering for its GenAI Center of Excellence. The role owns the strategy and architecture of the enterprise agentic AI platform, setting direction for multi-agent orchestration, security, and governance. It is a senior leadership position that influences technology direction across the organization, leads engineering talent, and fosters innovation in agentic AI across AWS, Google Cloud, and Azure. The VP is responsible for the enterprise platform strategy, architecture, technology roadmap, governance standards, cloud adoption, reliability, scalability, and cost optimization. The role represents the Agent Foundry and Runtime pods in executive and cross-functional forums and partners with Architecture, Data/Knowledge, and Product teams to guide end-to-end strategy and delivery. It also oversees organizational compliance, risk, and performance reviews for agentic AI.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 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 programming 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, including AWS, Google Cloud, and Azure, covering 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.

Nice To Haves

  • Advanced degree.

Responsibilities

  • Own enterprise agentic platform strategy, architecture, technology roadmap, and governance standards, focusing on multi-cloud scalability and resilience.
  • Drive innovation in multi-agent orchestration at scale, with exposure to agent frameworks such as LangChain, Langraph, and GoogleADK.
  • Set and monitor organizational standards for multi-agent orchestration, A2A protocols, human-in-the-loop (HITL), tenant IAM/RBAC, and runtime security across cloud platforms.
  • Represent the Agent Foundry and Runtime pods in executive and cross-functional governance forums, influencing cloud adoption and strategy.
  • Drive platform-wide reliability, scalability, and cost optimization 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 on end-to-end platform strategy and delivery, aligning cloud and agentic stack adoption.
  • Foster innovation and continuous improvement, promoting technical excellence and emerging best practices for cloud-native agentic platforms.
  • Oversee organizational compliance, risk, and performance reviews for agentic AI across public cloud environments.

Benefits

  • Retirement savings plan (401K) with company match.
  • Insurance coverage including basic life, medical, dental, vision, long-term disability, and optional additional coverages.
  • Paid time off including vacation, sick leave, short-term disability, and family care responsibilities.
  • Access to an Employee Assistance Program.
  • Incentive compensation, including eligibility for annual performance-based awards, subject to stated exclusions.
  • Eligibility for certain tax-advantaged savings plans.
  • Inclusive development opportunities.
  • Flexible work-life support.
  • Paid volunteer days.
  • Employee networks.
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