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Jobs · Engineering · New Jersey

Senior Solution Architect - AI & Cloud Systems, Vice President

State Street · Princeton, NJ · 2 days ago
Engineering$120k–$203k/yrFull-time

About the role

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.

Responsibilities

  • 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, AWS, Databricks, data platforms, and cloud-native application development.

  • 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.

What We Value

  • 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.

Qualifications

  • 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.

Education And Experience

  • 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.

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