Define architectural standards for an Iceberg-based Lakehouse, including table design, partitioning, schema evolution, metadata, performance, and lifecycle management.
Design enterprise knowledge capabilities using retrieval-augmented generation, vector search, knowledge graphs, ontologies, metadata, and semantic retrieval.
Review platform, data, and solution designs to ensure alignment with architectural principles, performance expectations, security requirements, and enterprise standards.
Partner with Platform Engineering to align infrastructure, identity and access management, security, observability, CI/CD, AgentOps, and LLMOps capabilities with architectural intent.
Work with Enterprise Architecture, Governance, Risk, and Security teams to meet access-control, Responsible AI, compliance, and audit requirements.
Publish and maintain reference architectures, design guidelines, engineering patterns, and architectural decision records.
Identify architectural risks, technical debt, and improvement opportunities, and guide the evolution of the platform over time.
Mentor senior engineers and influence technical direction across multiple engineering and application teams.
What we value
These skills will help you succeed in this role
Strong strategic and systems-thinking skills, with sound judgment across innovation, scalability, reliability, cost, security, and governance.
Ability to translate business objectives into practical platform capabilities and executable technical roadmaps.
Ability to influence engineering teams, architects, governance functions, and senior stakeholders without relying solely on formal authority.
Clear and effective communication, including the ability to explain complex AI and data concepts to technical and non-technical audiences.
A hands-on, delivery-oriented mindset with strong ownership, curiosity, and commitment to engineering quality.
Education & Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Engineering, or a related discipline.
10+ years of experience in software engineering, platform engineering, data engineering, solution architecture, or related technology roles.
Proven experience owning or leading enterprise-scale Agentic AI or Generative AI architecture and delivery.
Deep knowledge of agent orchestration, planning, memory, tool calling, evaluation, guardrails, multi-agent systems, and human-in-the-loop design.
Hands-on experience with agent frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, Google ADK, or comparable technologies.
Strong experience with Python, APIs, microservices, distributed systems, event-driven design, and cloud-native engineering.
Experience designing RAG and enterprise knowledge solutions using vector databases, knowledge graphs, ontologies, metadata, and hybrid retrieval.
Experience with distributed data platforms and technologies such as Apache Spark, Apache Iceberg, Databricks, Kafka, Delta Lake, Snowflake, or comparable platforms.
Experience architecting platforms and AI solutions on AWS, Google Cloud Platform, and/or Microsoft Azure.
Solid understanding of Kubernetes, containers, infrastructure as code, CI/CD, observability, security architecture, data governance, and metadata management.
Experience in financial services, investment management, or another large-scale regulated enterprise is preferred.
Additional Requirements
Demonstrated ability to operate as an AI-augmented architect, using GenAI tools to accelerate solution design, software development, documentation, and decision-making while maintaining architectural judgment and quality standards.
Knowledge of Responsible AI, AI governance, model risk, AgentOps, LLMOps, and production support practices.
Ability to lead complex technical initiatives across organizational and geographic boundaries.
Relevant cloud, architecture, data, or AI certifications are a plus but not required.
About State Street
Across 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.
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