Level

State Street

Senior Software Engineering Lead – COMPASS Platform & AI Solutions, AVP

AI in this role

openaicopilotlangchainsemantic-kernelazure-openai
prompt-engineeringragai-safety

Role Summary

We are seeking an experienced Assistant Vice President (AVP) Software Engineering Lead to join the COMPASS transformation program. The successful candidate will lead the design, development, and modernization of business-critical applications supporting Shareholder Services operations. This role combines hands-on software engineering, solution architecture, system integration, cloud-native development, and AI-driven engineering practices to accelerate delivery and improve operational efficiency throughout the software development lifecycle. COMPASS is the strategic platform supporting transaction workflows, integrations, operational processing, and the migration of legacy PRKS and Cash Portal capabilities.

Key Responsibilities

Software Engineering Leadership

  • Design, develop, and maintain enterprise-scale applications supporting COMPASS business capabilities.
  • Lead development activities across transaction processing, workflow orchestration, integrations, reporting, and operational services.
  • Drive software engineering best practices, code quality, DevOps, automated testing, and CI/CD adoption.
  • Mentor engineers and provide technical leadership across distributed global teams.

AI-Driven Engineering & Innovation

  • Apply Generative AI technologies to accelerate software development, testing, documentation, and production support activities.
  • Build AI-powered solutions to improve operational workflows, exception management, reconciliation processes, and business user experience.
  • Evaluate and implement AI services including Azure OpenAI, Copilot, LLMs, Retrieval-Augmented Generation (RAG), Intelligent Agents, and AI-assisted automation.
  • Drive adoption of AI coding assistants, automated test generation, AI-based defect analysis, and engineering productivity solutions.

Architecture & Integration

  • Design scalable and resilient cloud-native solutions.
  • Lead integration development with internal and external platforms using APIs, file-based interfaces, messaging, and event-driven architectures.
  • Partner with Architecture, Infrastructure, Security, and Business teams to define target-state solutions.
  • Ensure application designs meet security, audit, resilience, and performance requirements.

Cloud & Platform Modernization

  • Support enterprise migration initiatives and cloud transformation programs.
  • Develop and deploy applications on AWS and Azure platforms.
  • Drive modernization of legacy systems into cloud-native architectures.
  • Implement observability, monitoring, and performance optimization solutions.

Delivery & Stakeholder Management

  • Collaborate closely with Product Owners, Business SMEs, Operations teams, and executive stakeholders.
  • Support COMPASS release planning, BUAT, system integration testing, production readiness, and platform rollout activities.
  • Provide technical leadership for strategic initiatives and executive-level deliverables.

Required Qualifications

Technical Skills

  • 5+ years of enterprise software development experience.
  • Strong Java, Spring Boot, Microservices, REST API development.
  • Experience with Oracle, PostgreSQL, SQL optimization, and data integration solutions.
  • Hands-on experience with AWS and/or Azure cloud services.
  • CI/CD, GitHub, Jenkins, DevOps automation experience.
  • Strong system integration and distributed systems knowledge.
  • Experience building scalable enterprise applications.

AI / Machine Learning Skills

  • Experience using Generative AI tools in software development.
  • Understanding of LLMs, RAG frameworks, vector databases, prompt engineering, SDD and AI orchestration.
  • Experience with Github Copilot, Azure OpenAI, LangChain, Semantic Kernel, or equivalent technologies.
  • Ability to identify and deliver AI use cases that improve engineering productivity and operational efficiency.

Leadership Skills

  • Experience leading development teams and mentoring engineers.
  • Excellent communication and stakeholder management skills.
  • Ability to work with global teams across APAC, EMEA, and North America.

Preferred Qualifications

  • Shareholder Services, Investment Management, Transfer Agency, or Financial Services experience.
  • Experience with workflow platforms, transaction processing systems, or investment operations.
  • Knowledge of AI governance, responsible AI, and model risk controls.
  • Experience implementing Agentic AI solutions and enterprise automation platforms.

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

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How we rate this

Senior Software Engineering Lead – COMPASS Platform & AI Solutions, AVP at State Street rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Prompt EngineeringRAGAI SafetyOpenAICopilotLangChainSemantic KernelAzure OpenAI

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you think about the risk of an AI system in this kind of role failing silently?
  4. What's a project where you used OpenAI hands-on?
  5. Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, AI Safety, OpenAI, and Copilot. 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.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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