<p><b>Role Overview</b></p><p>As the Lead AI Engineer, you will design, prototype, and help operationalize AI-driven solutions across the wealth management lifecycle. You will explore emerging technologies—including agentic and generative AI—while collaborating closely with product, design, and technology partners to turn ideas into production-ready capabilities.</p><p></p><p><b>About the Team</b></p><p>The Wealth Research & Development (R&D) team is a strategic innovation hub focused on building next-generation wealth management solutions. We operate at the intersection of advanced AI, data science, and human-centered design—rapidly prototyping, validating, and scaling solutions that shape the future of wealth services.</p><p></p><p><b>Key Responsibilities</b></p><ul><li>Explore cutting-edge frameworks and design principles to inform product strategy</li><li>Clean, analyze, and interpret data to support AI-driven initiatives</li><li>Collaborate on requirements, architecture, testing, and QA for new solutions</li><li>Support proof-of-concept efforts to validate emerging technologies</li><li>Translate user research and feedback into actionable solution designs</li><li>Partner with stakeholders across technology, product, and strategy, and lead knowledge‑sharing initiatives.</li><li>Create dashboards, summaries, and presentations to share progress and insights</li></ul><p></p><p><b>Required Qualifications</b></p><ul><li>Bachelor’s degree in Computer Science, Data Science, Engineering, or related field</li><li>Hands-on experience with Python-based ML/LLM stacks (e.g., LangGraph, LlamaIndex, Hugging Face, Scikit-learn)</li><li>Understanding of model deployment, evaluation, and lifecycle management</li><li>Proficiency with tools for data gathering (SQL), analysis (Python), and application development</li><li>Familiarity with agentic AI (autonomous agents), generative AI (LLMs), and conversational AI (chat agents)</li><li>Experience with modern frameworks for scalable, interactive applications</li><li>Knowledge of data science workflows including wrangling, analytics, and governance</li></ul><p></p><p><b>Preferred Qualifications</b></p><ul><li>Master’s or PhD in Computer Science, Data Science, Engineering, or a related technical field</li><li>3+ years of experience analyzing, evaluating and delivering AI/ML solutions in production</li><li>Experience in financial services domain</li><li>Familiarity with multi-agent systems or integrating LLMs with traditional systems</li><li>Experience building scalable, secure backend services, including APIs and microservices in cloud-native environments.</li><li>Familiarity with Java for building, integrating, or scaling backend and enterprise-grade applications</li></ul><p></p><p><b>Core Competencies</b></p><ul><li>Analytical thinking and problem-solving mindset</li><li>Strong research and synthesis skills</li><li>Effective communication across technical and non-technical audiences</li><li>Attention to detail in data handling and documentation</li><li>Adaptability and curiosity in a fast-paced, innovation-driven environment</li></ul><p style="text-align:inherit"></p><p style="text-align:left"><b>Salary Range: </b></p>$90,000 - $157,500 Annual<p style="text-align:inherit"></p><p style="text-align:left"><span>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.</span></p><p></p><p><i>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.</i></p><p><i>For a full overview, visit </i><a target="_blank" href="https://hrportal.ehr.com/statestreet/Home"><i><u>https://hrportal.ehr.com/statestreet/Home</u></i></a><i>.</i></p><p></p><h1><span class="emphasis-3"><b>About State Street</b></span></h1><p></p><p>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.</p><p></p><p>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.</p><p></p><p>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.</p><p></p><p>Discover more information on jobs at <a target="_blank" href="http://statestreet.com/careers">StateStreet.com/careers</a></p><p></p><p>Read our <a target="_blank" href="https://pp-cdn.phenompeople.com/CareerConnectResources/prod/STSTGLOBAL/documents/New-1744919504565.pdf">CEO Statement</a></p><p></p><p><b><span>Job Application Disclosure:</span> </b></p><p><span>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.</span></p>