AI Solution Architect, Vice President - Corporate Functions Technology

Who We Are Looking ForWe are seeking an AI Solution Architect, 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 scaleThis 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 ForAI Architecture & Platform StrategyLead the end‑to‑end architecture for AI‑enabled platforms supporting Internal Audit, integrating LLMs, machine learning models, enterprise data platforms, and core systemsDefine scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics, and continuous auditing use casesAct as the technical authority for AI architecture within Internal Audit Technology, setting standards and guiding architectural decisions across initiativesAI Engineering & OrchestrationLead the design and implementation of AI orchestration frameworks to enable scalable, multi‑step reasoning and agent‑based workflowsArchitect 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 dataGuardrails, validation layers, and hallucination‑mitigation techniquesDefine and own model selection, evaluation, and benchmarking frameworks, balancing performance, cost, latency, explainability, and riskBuild & Production OperationsLead delivery of production‑ready AI systems, including model deployment, APIs, orchestration pipelines, and enterprise integrationsEstablish and mature LLMOps / MLOps practices, including versioning, monitoring, evaluation, logging, rollback strategies, and cost controlsEnsure platforms meet enterprise standards for availability, scalability, performance, resilience, and reliability​Governance, Risk & ControlsEmbed AI governance and model risk management into system designImplement safeguards for data privacy, security, bias detection, explainability, and auditabilityPartner with Internal Audit, Risk, Compliance, and Legal teams to align solutions with regulatory and internal policy requirementsUse Case Enablement & InnovationTranslate 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 productionStay current on emerging AI technologies and recommend pragmatic adoption strategiesWhat We ValueThe skills that will help you succeed in this role include:End‑to‑end AI architecture and solution design for enterprise, production‑grade systemsHands‑on expertise with Generative AI, including LLMs, prompt engineering, embeddings, RAG, and agent‑based workflowsAI orchestration and workflow design skills for multi‑step reasoning, validation, and automationStrong engineering and operational skills to deliver scalable, reliable platforms with robust LLMOps/MLOps practicesResponsible AI and governance skills, including model risk management, security, privacy, explainability, and auditabilityData engineering and integration skills, leveraging enterprise data platforms, APIs, and distributed systemsAnalytical problem‑solving skills to translate audit and risk challenges into high‑impact AI use casesStakeholder partnership and influence skills across audit, risk, security, and technology teamsClear technical communication and mentoring skills for technical and non‑technical audiencesContinuous learning mindset to stay current with evolving AI technologies and best practicesEducation & Preferred QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field10+ years of experience designing and delivering enterprise software or data platforms, with 3+ years focused on AI / ML solutionsHands‑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 architecturesExperience operationalizing AI systems with MLOps / LLMOps tooling and practicesSolid understanding of data engineering, APIs, and distributed systemsProven ability to design systems with security, privacy, and regulatory considerationsNice to HaveExperience supporting Internal Audit, Legal, or Risk Corporate functionsFamiliarity with model risk management or AI governance frameworksExperience with vector databases, semantic search, or enterprise data catalogsExposure to process mining, control testing automation, or continuous auditingCloud or AI/ML certificationsSalary Range: $120,000 - $217,500 AnnualThe 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.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 .About State StreetAcross 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/careersRead our CEO StatementJob 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.SummaryLocation: BOSTON; Clifton, New JerseyType: Full time