Lead AI Solutions Engineer - Assistant Vice President

Who We Are Looking For

We are seeking an Technology Lead for AI Solutions (Assistant Vice President) to serve as a senior technology leader responsible for shaping and executing the AI strategy for our Chief Commercial Office Technologies function. In this role, you will provide technical 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 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 Functional SMEs, data engineering, and infrastructure teams to ensure AI solutions are explainable, secure, compliant, and operationally resilient, while materially improving productivity, insight generation and creating innovative solutions to create more value to the overall function

What You Will Be Responsible For

AI Architecture & Platform Build

• Lead the end‑to‑end architecture for AI‑enabled platforms supporting various use cases (SDLC/PDLC, QE, Conversational AI, copilots) , integrating LLMs, machine learning models, data platforms, and core systems
• Define scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics
  
  
  

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 LangGragh (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
  
  
  

Use Case Enablement for AI-Pods

• Translate business challenges into high‑impact AI use cases
• Guide experimentation and proof‑of‑concepts while ensuring a clear path to production
• Stay current on emerging AI technologies and recommend pragmatic adoption strategies
  
  
  

Education & Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
• 17-20 years of experience designing and delivering enterprise software or data platforms, with 2+ 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
• Familiarity with 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
  
  
  

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

Why This Role Is Important To Us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry

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.

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Read our CEO Statement

Job ID: R-791059

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