AI Systems Design Architect – Vice President
State Street1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Own and drive enterprise-wide AI system architecture strategy across the full Generative AI platform stack.
- Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches.
- Lead architecture decisions for cloud and hybrid AI environments across AWS, Azure, and Google Cloud.
- Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
- Lead architecture governance forums, review major solution designs, resolve technical trade-offs, and ensure alignment with enterprise standards.
- Partner with business, product, engineering, cloud, security, risk, data, and operations teams to align architecture with business priorities.
- Ensure AI solutions meet Responsible AI, governance, data control, model-risk, testing, security, and regulatory expectations.
- Drive architecture assessments, technical due diligence, platform modernization, proof-of-concept direction, and production onboarding standards.
- Guide platform capability, shared-service, build-versus-buy, and modernization decisions.
- Mentor architects and engineering leaders and represent the Architecture function in senior governance and leadership forums.
Requirements
- Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline is required; a master’s degree is preferred.
- 12–17 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture, including leadership of large-scale enterprise initiatives.
- Deep hands-on and architectural experience with Generative AI, LLMs, ML systems, RAG, vector databases, prompt design and orchestration, and AI application integration.
- Proven expertise in cloud architecture and enterprise solution design on AWS, Azure, or Google Cloud Platform.
- Strong understanding of cloud-native architecture, AI/ML services, networking, storage, security, IAM, resilience, and performance optimization.
- Experience designing secure, resilient, high-performing architectures for enterprise-scale AI and data-driven applications.
- Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design.
- Understanding of AI governance, Responsible AI, model risk, compliance, testing, production controls, and control frameworks.
- Understanding of DevSecOps, CI/CD, observability, monitoring, reliability engineering, and platform engineering concepts.
- Ability to lead architecture discussions with senior executives and communicate with technical and non-technical stakeholders.
- Strong leadership, stakeholder management, problem-solving, and cross-functional collaboration skills.
Benefits
- The position is on-premise.
- State Street offers inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
Tech Stack
Categories
About State Street
State Street is a global custodian bank and asset manager serving institutional investors with investment servicing, fund accounting, trading/FX, data, and index/active strategies. Its products include State Street Global Advisors’ funds and ETFs, the Charles River Investment Management Solution, and the front-to-back State Street Alpha platform. Founded in 1792 and headquartered in Boston, the company is publicly traded on the NYSE (ticker: STT) and operates across major markets worldwide.