Agentic AI Engineer, Vice President

State Street

Quincy (MA)

On-site

USD 120,000 - 218,000

Full time

6 days ago
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Benefits offered by this job

401K with match
Insurance package
Paid time off
Employee Assistance Program
Performance incentives
Tax-advantaged savings plans

Job summary

State Street in Quincy, MA is seeking a Vice President to lead enterprise agentic AI engineering and governance within its GenAI Center of Excellence. You will shape architecture and multi-cloud strategy across AWS, Google Cloud, and Azure, partnering across teams to drive reliability, scalability, and cost efficiency.

The role blends executive leadership with hands-on platform stewardship, mentoring engineering leaders and aligning with Architecture, Data/Knowledge, and Product teams to

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering or related field.
  • 12–17 years of relevant experience, including leadership of large-scale multi-agent or AI platforms.
  • Proficiency in Python and at least one other language such as Java, Go, or C++.
  • Extensive experience with AWS, Google Cloud, and Azure, including security and cost optimization.
  • Strong communication, governance, and stakeholder management skills.

Responsibilities

  • Own the enterprise agentic platform strategy, including architecture, technology roadmap, and governance standards.
  • Apply LangChain, Langraph, and GoogleADK to advance multi-agent orchestration at scale.
  • Set and monitor standards for multi-agent orchestration, including IAM/RBAC and runtime security.
  • Represent the Agent Foundry and Runtime pods in executive governance forums.
  • Lead platform-wide initiatives for reliability, scalability, and cost optimization across clouds.
  • Build and develop engineering leadership talent across pods.
  • Collaborate with Architecture, Data/Knowledge, and Product teams for alignment.
  • Promote continuous improvement and best practices for cloud-native platforms.
  • Oversee compliance, risk, and performance reviews for enterprise AI.

Skills

Leadership
Python
Java
Go
C++
AWS
Google Cloud
Azure
LangChain
Langraph
GoogleADK
A2A protocols
HITL
IAM/RBAC
Governance
Cost optimization

Education

Bachelor’s or Master’s degree in CS/Engineering

Job description

State Street is hiring a Vice President to lead enterprise agentic AI engineering strategy within its GenAI Center of Excellence. In this hybrid role in Quincy, MA, you will shape the architecture and governance for a multi-cloud agentic AI platform, partner across teams, and help drive reliability, scalability, and cost optimization across AWS, Google Cloud, and Azure.

What you’ll do
  • Own the enterprise agentic platform strategy, including architecture, technology roadmap, and governance standards, with emphasis on multi-cloud scalability and resilience.
  • Apply experience with agent frameworks such as LangChain, Langraph, and GoogleADK to advance 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, influencing cloud adoption and enterprise strategy.
  • Lead platform-wide initiatives focused on 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.
  • Collaborate with Architecture, Data/Knowledge, and Product teams to ensure end-to-end alignment between cloud and agentic stack adoption.
  • Promote continuous improvement by fostering technical excellence and emerging best practices for cloud-native agentic platforms.
  • Oversee organizational compliance, risk, and performance reviews for agentic AI, including across public cloud environments.
What you bring
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a 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 AWS, Google Cloud, and Azure, including security, governance, and cost optimization.
  • Demonstrated success defining 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.
  • Strong communication, governance, and stakeholder management skills.
Technologies you’ll work with

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 and work schedule

Hybrid work model with regular on-site presence required in one of the following locations: Boston, MA; Austin, TX; Princeton, NJ.

Salary

$120,000 - $217,500 Annual. The range applies to the role in the primary location specified; if the candidate ultimately works outside the primary location above, 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.

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