Agentic AI Engineer, Vice President
Company websitestatestreet.com (State Street Corporation, opens in new tab)
Base salary $120,000 to $217,500
Employer-published annual base salary, USD. Advertised base range in Quincy, MA +3 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationQuincy, MA +3 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All 4 locations
- Quincy, Massachusetts
- Princeton, New Jersey
- BOSTON
- Austin, Texas
About this job
About the Role
We are hiring a Vice President (VP), Agentic AI Engineering, for our GenAI Center of Excellence at State Street. As VP, you will own the strategy and architecture of our enterprise agentic AI platform, setting the vision for multi-agent orchestration, security, and governance. This is a senior leadership role where you will influence technology direction across the organization, lead engineering talent, and foster innovation in agentic AI on AWS, Google Cloud, and Azure.
Key Responsibilities
- Own the enterprise agentic platform strategy, including architecture, technology roadmap, and governance standards, with a focus on multi-cloud (AWS, Google Cloud, Azure) scalability and resilience.
- Exposure to agent frameworks (e.g., LangChain, Langraph, GoogleADK) and drive innovation in multi-agent orchestration at scale.
- Set and monitor organizational standards for multi-agent orchestration, 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 strategy.
- Drive platform-wide reliability, scalability, and cost optimization initiatives 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 for end-to-end platform strategy and delivery, ensuring alignment of cloud and agentic stack adoption.
- Foster innovation and continuous improvement, promoting technical excellence and emerging best practices for cloud-native agentic platforms.
- Oversee compliance, risk, and performance reviews for agentic AI at the organizational level, including across public cloud environments.
Required Qualifications
- 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 and familiar 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.
Location & Work Schedule
This role follows a hybrid work model and requires regular on-site presence in one of the following locations:
- Boston, MA
- Austin, TX
- Princeton, NJ
Salary Range:
$120,000 - $217,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (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 our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Source: State Street Corporation on Workday · View original posting (opens in new tab)
This listingAgentic AI Engineer, Vice President$120,000 to $217,500
AWS Cloud Product Manager, Vice President$120,000 to $217,500
Investments Business Risk Partner - COO, VP I - State Street Investment Management$120,000 to $202,500
T26-9772;Software Engineering & Development, VP$120,000 to $202,500
AI System Design Architect, Vice President$120,000 to $217,500
Business Architect - Investment Management, VP II - SSIM$120,000 to $202,500
Senior Network Security Architect$120,000 to $202,500
Chart as a table
| Role | Published base |
|---|---|
| Agentic AI Engineer, Vice President (this listing) | $120,000 - $217,500 |
| AWS Cloud Product Manager, Vice President | $120,000 - $217,500 |
| Investments Business Risk Partner - COO, VP I - State Street Investment Management | $120,000 - $202,500 |
| T26-9772;Software Engineering & Development, VP | $120,000 - $202,500 |
| AI System Design Architect, Vice President | $120,000 - $217,500 |
| Business Architect - Investment Management, VP II - SSIM | $120,000 - $202,500 |
| Senior Network Security Architect | $120,000 - $202,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
Where this pay comes from
Location as the employer wrote it: Multiple locations (4)
$120,000 - $217,500 Annual
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
