Senior Solution Architect - AI & Cloud Systems, Vice President

Who We Are Looking For

We are seeking an experienced, hands‑on Solution Architect for AI and Cloud Systems to support State Street’s Anti‑Money Laundering (AML) Compliance Technology team. In this role, you will partner with business, architecture, engineering, cybersecurity, risk, and infrastructure teams to design secure, scalable, resilient, and cost‑effective AI and cloud solutions. You will bring strong solution architecture expertise and practical experience in generative AI, agentic AI, AWS, Databricks, data platforms, and cloud‑native application development.

Lead the end‑to‑end architecture and design of enterprise AI, cloud, data, and application solutions. Translate business requirements into secure, scalable, resilient, and production‑ready solution architectures. Define architecture patterns for generative AI, agentic AI, cloud‑native applications, data integration, APIs, and event‑driven systems. Provide architecture governance throughout the delivery lifecycle, from initial design through production rollout. Partner with engineering, cybersecurity, data, infrastructure, risk, and business teams to ensure solutions meet enterprise standards.

Evaluate existing platforms and recommend modernization, performance, resiliency, and cost‑optimization opportunities. Provide technical leadership and guidance to architects, developers, data engineers, and cloud engineers.

The following capabilities will help you succeed in this role:
Strong architecture leadership, critical thinking, problem‑solving, and decision‑making skills. Ability to translate complex business requirements into practical technology solutions. Strong communication and stakeholder management skills, including the ability to engage effectively with senior leaders. Experience driving architecture decisions across multiple teams and technology platforms. Ability to balance innovation, delivery speed, security, risk, operational resiliency, and cost. Strong understanding of architecture governance and technology‑control requirements.

Deep architecture and engineering expertise, with the ability to translate strategy into working solutions through design, prototyping, hands‑on coding, and technical leadership across AI, cloud, and data platforms.

Bachelor’s degree in computer science, engineering, information systems, or an equivalent combination of education and work experience. At least 10 years of overall technology experience, including significant experience in solution or enterprise architecture. Demonstrated experience architecting large‑scale AI, cloud, data, and distributed application platforms. Experience in financial services, banking, compliance, or another highly regulated industry is preferred. AWS, Databricks, AI/ML, Kubernetes, or enterprise architecture certifications are preferred.

Develop current‑state, target‑state, and transition architectures aligned with business and technology strategies. Design secure, production‑grade generative AI and agentic AI solutions, including RAG, AI agents, model integration, evaluation, observability, and guardrails. Define reusable architecture patterns for AWS, Databricks, APIs, microservices, event streaming, data platforms, and hybrid‑cloud integration. Ensure solution designs address security, data privacy, availability, performance, disaster recovery, monitoring, and operational support.

Guide engineering teams during design, implementation, architecture reviews, and production‑readiness assessments. Evaluate technology products and vendors and recommend solutions based on business value, risk, scalability, and total cost of ownership. Mentor architects and engineers while promoting architecture standards and engineering best practices.

Strong experience in enterprise solution architecture, cloud architecture, and distributed systems design. Hands‑on knowledge of AWS services, including Bedrock, S3, EC2, Lambda, API Gateway, IAM, and PostgreSQL‑based platforms. Strong understanding of Generative AI and Agentic AI…