Vice President, Agentic AI Engineer

State Street

. Own the enterprise agentic platform strategy, 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, architecture, and governance, with a strong focus on multi-agent orchestration, cloud security, and compliance. Proven ability to lead engineering teams and drive innovation in AI-driven platforms across major cloud environments.

Highest-signal resume keywords

Platform Architecture OwnershipMulti-Agent OrchestrationCloud Security ExpertiseAWS, Google Cloud, Azure ExperienceEngineering Leadership Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaGoC++Agentic AI SystemsA2A ProtocolsHITLTenant IAM/RBACIncident ManagementCost Optimization

Soft Skills

Exceptional CommunicationStakeholder ManagementGovernance Skills

Tools & Technologies

LangChainLangraphGoogleADKAWSGoogle CloudAzure

Industry Keywords

Enterprise AI SolutionsComplianceRisk ManagementPerformance OversightCloud-Native Best Practices

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonC++Go

About the role

Key responsibilities & impact

Own the enterprise agentic platform strategy, 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, technical excellence, and cloud-native agentic platform 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
Proficiency 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 AWS, Google Cloud, and Azure
Experience with cloud 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
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 leave
Paid sick leave
Short-term disability
Family care responsibilities leave
Employee Assistance Program
Eligibility for annual performance-based awards
Certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks