AI/ML & Automation, Business Solutions - Assistant Vice President

AI in this role

langchainlanggraphpytorchtensorflowscikit-learn

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About the Role

We are seeking an Assistant Vice President (AVP) for our Business Solutions team at State Street. This role focuses on leveraging Python (advanced), Machine Learning, and Generative AI technologies to design and implement solutions that enhance operational efficiency, productivity, and user experience in the Finance services domain. The ideal candidate will have expertise in LLMs, RAG, Agentic AI, and automation frameworks, with strong leadership and solution architecture skills.

Key Responsibilities:

Lead design and delivery of AI/ML and Generative AI solutions for Finance operations.
Architect and implement agentic workflows for automation of reporting and data processing.
Build and optimize LLM applications using LangChain, LangGraph, and RAG techniques.
Develop advanced Python-based pipelines for data wrangling, structured/unstructured data handling, and web scraping.
Integrate graph databases, embeddings, and JSON-based APIs for scalable solutions.
Collaborate with stakeholders to translate business requirements into actionable AI-driven solutions.
Ensure compliance with data governance, security, and model risk management.

Required Skills

14–18 years’ experience in technology roles, with 5+ years in AI/ML leadership.
Strong proficiency in Python (advanced) and ML frameworks (scikit-learn, TensorFlow, PyTorch).
Expertise in Generative AI, LLMs, RAG, embeddings, and agentic AI.
Hands-on experience with LangChain, LangGraph, and workflow automation.
Solid knowledge of structured and unstructured data, JSON, and web scraping.
Familiarity with graph databases and relational databases.
Excellent problem-solving, communication, and stakeholder management skills.

Preferred Skills

Experience with cloud platforms (Azure, AWS, GCP) and MLOps practices.
Familiarity with embedding models, vector databases, and semantic search.
Understanding of integration and automation platform (MuleSoft).

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

How we rate this

AI/ML & Automation, Business Solutions - Assistant Vice President at State Street rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI AgentsML OpsLangChainLangGraphPyTorchTensorFlowscikit-learn

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
What's a project where you used LangChain hands-on?
Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI Agents, ML Ops, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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