
Leading company in the financial services industry
Agentic Architecture and LLMOps Engineering - Senior Principal, VP III - State Street Investment Management at State Street
About the role
About the Role
State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking a Senior Principal (Vice President), Agentic Architecture and LLMOps Engineering. This role owns the architecture, engineering delivery, and operational excellence for modern AI ecosystem and its agentic AI capabilities supporting the Investment Management business. The successful candidate brings deep, hands-on expertise in agentic architecture, workflow design, AI agent implementation, protocol integration (e.g., A2A, MCP), and containerized services, along with proven leadership experience in financial services.
Key Responsibilities
- Lead an agile agentic AI engineering team to deliver scalable solutions that meet evolving business and client needs.
- Partner with global stakeholders to execute cross-border initiatives and continuously strengthen engineering standards and best practices.
- Coach and mentor engineers, building a culture of continuous learning, accountability, and high performance.
- Define and own the firm’s agentic architecture and implementation, including agent workflows; agent enablement across platform components; and governance (registration, security, observability, and monitoring) for AI agents.
- Design and lead the implementation of agentic AI capabilities, including architecture patterns, best practices, framework and tool selection, development, integration, and deployment.
Required Qualifications
- Master’s degree in Computer Science or a related engineering discipline.
- 15+ years of technology experience in financial services, including senior-level engineering leadership.
- Hands-on experience designing and implementing multi-agent workflows, including human-in-the-loop command center patterns and/or autonomous agentic workflows.
- Hands-on experience designing and implementing modern, open-architecture AI platforms supporting ML/DL, GenAI, and agentic AI (Google Gemini Enterprise and Vertex AI preferred).
- Extensive experience architecting and implementing enterprise LLMOps and agentic infrastructure pipelines, including networking, storage, security, Fin Ops, and capacity planning, using cloud-agnostic approaches across major providers (e.g., GCP, AWS, Azure).
- Proficiency with modern AI platforms (e.g., Google Gemini Enterprise, AWS Bedrock) and programming languages (e.g., Python, SQL, Rust); familiarity with AI-assisted development tools (e.g., Anthropic Code, GitHub Copilot, Codex).
- 4+ years of experience working with unstructured data sources (e.g., sales notes, 13F filings, news, social media).
- Excellent written and verbal communication skills, with the ability to influence and align stakeholders across geographies.
- Demonstrated ability to deliver results with strong attention to detail, sound judgment, and a direct, constructive approach.
Preferred Qualifications
- Experience serving as an AI platform architect within a financial institution.
- Experience implementing patterns and tooling for unstructured data.
- CFA Level II completion (or equivalent certification).
Salary Range:
$120,000 - $217,500 Annual
The 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.
Required skills
LLMOps
Agentic AI
AI architecture
Workflow design
Team leadership
Protocol integration
Containerization
Governance
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About State Street

State Street
PublicState Street Corporation is an American multinational financial services and bank holding company headquartered at One Congress Street in Boston. It is the second-oldest continuously operating U.S. bank, tracing its roots to Union Bank, chartered in 1792.
10,001+
Employees
Boston
Headquarters
$55B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
3.8
Career
3.4
Management
2.8
68%
Recommend to a friend
Pros
Supportive colleagues and team culture
Good benefits and retirement plans
Learning and advancement opportunities
Cons
Heavy workload and overtime expectations
Poor management direction and support
High stress and fast-paced environment
Salary Ranges
101 data points
Junior/L3
Mid/L4
Junior/L3 · ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
5 reports
$173,841
total per year
Base
$108,222
Stock
-
Bonus
-
$110,000
$173,841
Interview experience
5 interviews
Difficulty
2.6
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview process
1
Application Review
2
Recruiter Screen
3
Phone Interview
4
Technical/Hiring Manager Interview
5
Final Interview/Offer Stage
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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