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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solution Architect - AI & Cloud Systems, Vice President - **Company:** State Street - **Location:** Princeton, NJ, United States - **Experience:** Expert - **Salary:** $120,000.0 - $202,500.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Architectural Patterns, Automation of Tests, Cloud Computing, Cloud Engineering, Cyber Security, Information Systems, Continuous Integration, Data Architecture, Data Integration, Disaster Recovery, Distributed Systems, Identity and Access Management, Internet Security, Python (Programming Language), PostgreSQL, OpenShift, Cloud Services, Software Engineering, Data Streaming, Systems Integration, Enterprise Data Management, Cloud Platform System, Spring Cloud, Retrieval-Augmented Generation, Large Language Models, Software Security, Model Validation, Generative AI, HybridCloud, Agentic-AI, Event Driven Architecture, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, CrewAI, Apache Kafka, Data Management, Functional Programming, Cloud Optimization, Api Gateway, Software Coding, Terraform, Data Pipelines, Devsecops, Databricks, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-solution-architect-ai-cloud-systems-vice-president-princeton-nj--229b00e0-be25-4bd2-8be0-25559c5850d1 ## About the Role Artificial Intelligence (AI), Cloud Computing, Internet Security, Artificial Intelligence (AI), Cloud Computing, Risk, Money Laundering, Business Architecture, Amazon Web Services (AWS), Software Development, * 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., * 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 architecture, including LLMs, RAG, vector databases, AI agents, model evaluation, observability, and guardrails. * Experience with Python, APIs, microservices, containers, Kubernetes, and event-driven architecture. * Familiarity with Databricks, data lakes, lakehouse architecture, data pipelines, and enterprise data integration. * Knowledge of application security, identity and access management, encryption, resiliency, disaster recovery, and cloud governance. * Understanding of DevSecOps, CI/CD, infrastructure as code, automated testing, and production monitoring practices. * Proven ability to communicate architecture decisions, technical risks, alternatives, and recommendations to senior stakeholders. Preferred Qualifications * Experience with AML, compliance, risk management, or other financial-services technology platforms. * Knowledge of AI governance, responsible AI, model risk management, and data privacy controls. * Experience with LangChain, LangGraph, Strands, CrewAI, Pydantic, or similar AI frameworks. * Familiarity with Kafka, Apache Airflow, Terraform, OpenShift, and cloud cost-management practices. * Experience modernizing legacy applications and migrating enterprise workloads to the cloud. ## Description 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. What You Will Be Responsible For * 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., * 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.