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State Street

Vice President, Agentic AI Engineer

State Street

. Own the enterprise agentic platform strategy, including architecture, technology roadmap, and governance standards .

Posted 11/2/2026full-timeUnited StatesLead💰 $120,000 - $217,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in enterprise agentic platform strategy, including architecture, technology roadmaps, and governance standards. Proven ability to drive innovation in multi-agent orchestration and manage compliance, risk, and performance in AI systems across multi-cloud environments.

Highest-signal resume keywords
Platform Architecture OwnershipMulti-Agent OrchestrationCloud Environments (AWS, Google Cloud, Azure)Python ProficiencyCompliance and Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaGoC++Multi-Agent Frameworks (LangChain, Langraph, GoogleADK)A2A ProtocolsHITLIAM/RBACIncident ManagementCost Optimization
Soft Skills
Exceptional CommunicationStakeholder ManagementLeadership DevelopmentInnovation FosteringCross-Functional Collaboration
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering
Industry Keywords
Agentic AI SystemsGovernance StandardsPerformance OversightReliability and ScalabilityTechnical Excellence

Tech Stack

Tools & technologies
AWSAzureCloudJavaPythonC++Go

About the role

Key responsibilities & impact
  • Own the enterprise agentic platform strategy, including architecture, technology roadmap, and governance standards
  • Set the vision for multi-agent orchestration, security, and governance
  • Drive innovation in multi-agent orchestration at scale using agent frameworks such as LangChain, Langraph, and GoogleADK
  • Set and monitor standards for multi-agent orchestration, A2A protocols, HITL, tenant IAM/RBAC, and runtime security
  • Represent the Agent Foundry and Runtime pods in executive and cross-functional governance forums
  • Drive 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 platform strategy and delivery
  • Foster innovation, continuous improvement, technical excellence, and emerging best practices
  • Oversee compliance, risk, and performance reviews for enterprise agentic AI across public cloud environments

Requirements

What you’ll need
  • 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
  • Proficient in Python
  • Familiarity with at least one additional modern programming language such as Java, Go, or C++
  • Proven strategic ownership of platform architecture and technology roadmaps
  • Deep knowledge of agentic AI systems
  • Extensive hands-on and leadership experience with multi-cloud environments including AWS, Google Cloud, and Azure
  • Experience with security, governance, and cost optimization across cloud environments
  • 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

Benefits

Comp & perks
  • Retirement savings plan (401K) with company match
  • Basic life insurance
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Long-term disability insurance
  • Optional additional insurance coverages
  • Paid vacation
  • Paid sick leave
  • Short-term disability
  • Family care responsibilities leave
  • Employee Assistance Program
  • Incentive compensation, including eligibility for annual performance-based awards
  • Certain tax advantaged savings plans
  • Inclusive development opportunities
  • Flexible work-life support
  • Paid volunteer days
  • Employee networks