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/Machine Learning Engineer jobs
ST
StateStreet

AI Engineer, Vice President – Corporate Functions Technology

Salary$120k – $218k
LocationBOSTON; Clifton, New Jersey
Typefull-time
SeniorityVP
Experience10+ yrs
Company size10,000+ people
First seenOct 6, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have18
End-to-end AI architecture and solution design for enterprise, production-grade systems
Hands-on expertise with Generative AI, including LLMs, prompt engineering, embeddings, RAG, and agent-based workflows
AI orchestration and workflow design skills for multi-step reasoning, validation, and automation
Strong engineering and operational skills to deliver scalable, reliable platforms with robust LLMOps/MLOps practices
Responsible AI and governance skills, including model risk management, security, privacy, explainability, and auditability
Data engineering and integration skills, leveraging enterprise data platforms, APIs, and distributed systems
Analytical problem-solving skills to translate audit and risk challenges into high-impact AI use cases
Stakeholder partnership and influence skills across audit, risk, security, and technology teams
Clear technical communication and mentoring skills for technical and non-technical audiences
Continuous learning mindset to stay current with evolving AI technologies and best practices
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
10+ years of experience designing and delivering enterprise software or data platforms
3+ years of experience focused on AI / ML solutions
Hands-on experience with large language models and modern AI frameworks (prompt engineering, embeddings, RAG, agents)
Strong background in cloud platforms (Azure or AWS) and microservices-based architectures
Experience operationalizing AI systems with MLOps / LLMOps tooling and practices
Solid understanding of data engineering, APIs, and distributed systems
Proven ability to design systems with security, privacy, and regulatory considerations
Nice to have5
Experience supporting Internal Audit, Legal, or Risk Corporate functions
Familiarity with model risk management or AI governance frameworks
Experience with vector databases, semantic search, or enterprise data catalogs
Exposure to process mining, control testing automation, or continuous auditing
Cloud or AI/ML certifications
Skills
Generative AI
large language models
retrieval-augmented generation (RAG)
AI orchestration frameworks
LangChain
cloud platforms
Azure
AWS
microservices
MLOps
LLMOps
vector databases
semantic search
enterprise data catalogs
process mining
Benefits
Health insurance
401(k)
Dental
Vision
Long term disability
Paid time off
Vacation
Sick leave
Short term disability
Family care responsibilities
Employee assistance program
Incentive compensation
Tax advantaged savings plans
Who We Are Looking For
We are seeking an AI Engineer, Vice President to serve as a senior technology leader responsible for shaping and driving the AI strategy for our Internal Audit function. In this role, you will provide architectural leadership to design, build, and operate production‑grade AI systems that deliver conversational, predictive, and generative capabilities at enterprise scale
This is a hands‑on architectural leadership role requiring deep expertise in Generative AI, large language models (LLMs), retrieval‑augmented generation (RAG), AI orchestration frameworks, and enterprise integration patterns. You will partner closely with Internal Audit SMEs, data engineering, security, and infrastructure teams to ensure AI solutions are explainable, secure, compliant, and operationally resilient, while materially improving audit quality, productivity, and insight generation.
What You Will Be Responsible For
AI Architecture & Platform Strategy
•
Lead the end‑to‑end architecture for AI‑enabled platforms supporting Internal Audit, integrating LLMs, machine learning models, enterprise data platforms, and core systems
•
Define scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics, and continuous auditing use cases
•
Act as the technical authority for AI architecture within Internal Audit Technology, setting standards and guiding architectural decisions across initiatives
AI Engineering & Orchestration
•
Lead the design and implementation of AI orchestration frameworks to enable scalable, multi‑step reasoning and agent‑based workflows
•
Architect solutions using frameworks such as LangChain (or equivalent) and cloud‑native capabilities (e.g., managed AI/agent services)
•
Design workflows incorporating:
•
Retrieval‑augmented generation (RAG) across structured and unstructured data
•
Guardrails, validation layers, and hallucination‑mitigation techniques
•
Define and own model selection, evaluation, and benchmarking frameworks, balancing performance, cost, latency, explainability, and risk
Build & Production Operations
•
Lead delivery of production‑ready AI systems, including model deployment, APIs, orchestration pipelines, and enterprise integrations
•
Establish and mature LLMOps / MLOps practices, including versioning, monitoring, evaluation, logging, rollback strategies, and cost controls
•
Ensure platforms meet enterprise standards for availability, scalability, performance, resilience, and reliability
Governance, Risk & Controls
•
Embed AI governance and model risk management into system design
•
Implement safeguards for data privacy, security, bias detection, explainability, and auditability
•
Partner with Internal Audit, Risk, Compliance, and Legal teams to align solutions with regulatory and internal policy requirements
Use Case Enablement & Innovation
•
Translate audit and risk challenges into high‑impact AI use cases (e.g., control testing automation, issue identification, narrative generation, continuous auditing)
•
Guide experimentation and proof‑of‑concepts while ensuring a clear path to production
•
Stay current on emerging AI technologies and recommend pragmatic adoption strategies
What We Value
The skills that will help you succeed in this role include:
•
End‑to‑end AI architecture and solution design for enterprise, production‑grade systems
•
Hands‑on expertise with Generative AI, including LLMs, prompt engineering, embeddings, RAG, and agent‑based workflows
•
AI orchestration and workflow design skills for multi‑step reasoning, validation, and automation
•
Strong engineering and operational skills to deliver scalable, reliable platforms with robust LLMOps/MLOps practices
•
Responsible AI and governance skills, including model risk management, security, privacy, explainability, and auditability
•
Data engineering and integration skills, leveraging enterprise data platforms, APIs, and distributed systems
•
Analytical problem‑solving skills to translate audit and risk challenges into high‑impact AI use cases
•
Stakeholder partnership and influence skills across audit, risk, security, and technology teams
•
Clear technical communication and mentoring skills for technical and non‑technical audiences
•
Continuous learning mindset to stay current with evolving AI technologies and best practices
Education & Preferred Qualifications
•
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
•
10+ years of experience designing and delivering enterprise software or data platforms, with 3+ years focused on AI / ML solutions
•
Hands‑on experience with large language models and modern AI frameworks (prompt engineering, embeddings, RAG, agents)
•
Strong background in cloud platforms (Azure or AWS) and microservices‑based architectures
•
Experience operationalizing AI systems with MLOps / LLMOps tooling and practices
•
Solid understanding of data engineering, APIs, and distributed systems
•
Proven ability to design systems with security, privacy, and regulatory considerations
Nice to Have
•
Experience supporting Internal Audit, Legal, or Risk Corporate functions
•
Familiarity with model risk management or AI governance frameworks
•
Experience with vector databases, semantic search, or enterprise data catalogs
•
Exposure to process mining, control testing automation, or continuous auditing
•
Cloud or AI/ML certifications
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.
Benefits
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.
Legal
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.
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