AI Solution Architect, Vice President – Corporate Functions Technology

State Street is a global leader in investment management, and they are seeking an AI Solution Architect, Vice President to drive the AI strategy for their Internal Audit function. This role involves providing architectural leadership to design and operate production-grade AI systems, ensuring they are secure, compliant, and operationally resilient while improving audit quality and productivity.

Responsibilities

• Lead the end‑to‑end architecture for AI‑enabled platforms supporting Internal Audit, integrating LLMs, machine learning models, enterprise data platforms, and core systems
• Define scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics, and continuous auditing use cases
• Act as the technical authority for AI architecture within Internal Audit Technology, setting standards and guiding architectural decisions across initiatives
• 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 LangChain (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
• 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
• Embed AI governance and model risk management into system design
• Implement safeguards for data privacy, security, bias detection, explainability, and auditability
• Partner with Internal Audit, Risk, Compliance, and Legal teams to align solutions with regulatory and internal policy requirements
• Translate 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 production
• Stay current on emerging AI technologies and recommend pragmatic adoption strategies

Skills

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
• 10+ years of experience designing and delivering enterprise software or data platforms, with 3+ 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
• End‑to‑end AI architecture and solution design for enterprise, production‑grade systems
• Hands‑on expertise with Generative AI, including LLMs, prompt engineering, embeddings, RAG, and agent‑based workflows
• AI orchestration and workflow design skills for multi‑step reasoning, validation, and automation
• Strong engineering and operational skills to deliver scalable, reliable platforms with robust LLMOps/MLOps practices
• Responsible AI and governance skills, including model risk management, security, privacy, explainability, and auditability
• Data engineering and integration skills, leveraging enterprise data platforms, APIs, and distributed systems
• Analytical problem‑solving skills to translate audit and risk challenges into high‑impact AI use cases
• Stakeholder partnership and influence skills across audit, risk, security, and technology teams
• Clear technical communication and mentoring skills for technical and non‑technical audiences
• Continuous learning mindset to stay current with evolving AI technologies and best practices
• Experience supporting Internal Audit, Legal, or Risk Corporate functions
• Familiarity with model risk management or 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

Benefits

• 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
• Eligibility for certain tax advantaged savings plans
• Inclusive development opportunities
• Flexible work-life support
• Paid volunteer days
• Vibrant employee networks

Company Overview

• State Street offers a range of financial services, including investment management, research and trading, as well as asset management. It was founded in 1792, and is headquartered in Boston, Massachusetts, USA, with a workforce of 10001+ employees. Its website is https://www.statestreet.com/.

Company H1B Sponsorship

• State Street has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.