Vice President, Agentic AI Engineer

State Street

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

Posted 10/6/2026full-timeUnited StatesLead💰 $120,000 - $217,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in multi-cloud platform strategy, architecture, and governance for agentic AI systems, with a strong focus on reliability, scalability, and compliance. Proven ability to lead engineering teams and drive innovation in cloud-native environments.

Highest-signal resume keywords

Multi-Cloud EnvironmentsPlatform Architecture OwnershipPython ProficiencyAI Systems ComplianceEngineering Leadership Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaGoC++Multi-Agent OrchestrationA2A ProtocolsHITLTenant IAM/RBACRuntime SecurityCost Optimization

Soft Skills

Exceptional CommunicationStakeholder ManagementGovernance

Tools & Technologies

AWSGoogle CloudAzureLangChainLangraphGoogleADK

Industry Keywords

Agentic AICloud-Native PlatformsRisk ManagementPerformance OversightOrganizational Standards

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
Drive multi-cloud scalability and resilience across AWS, Google Cloud, and Azure
Drive innovation in multi-agent orchestration at scale using agent frameworks such as LangChain, Langraph, and GoogleADK
Set and monitor organizational 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 initiatives for agentic AI workloads
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
Foster innovation, technical excellence, and emerging best practices for cloud-native agentic platforms
Oversee compliance, risk, and performance reviews for 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, 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 in 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 leave/responsibilities support
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