CX Operational Transformation-Workflow Engineer - Manager
State StreetResponsibilities
- Design, develop, test, deploy, and support AI applications using Python, Google Gemini Enterprise, LangChain, and LangGraph.
- Develop integrations with large language models, APIs, vector databases, prompt-management frameworks, and workflow-orchestration platforms.
- Build AI agents, automation solutions, and intelligent workflows that improve operational efficiency and business outcomes.
- Participate in proofs of concept and technical evaluations of emerging technologies, tools, platforms, AI models, and frameworks.
- Create and maintain technical documentation, design specifications, implementation guides, and operational procedures.
- Follow enterprise software-development lifecycle processes covering development, testing, deployment, and support.
- Apply responsible-AI, governance, security, privacy, and regulatory requirements to production solutions.
- Monitor emerging trends in artificial intelligence, cloud technologies, automation, and software engineering.
Requirements
- Bachelor's or master's degree in computer science, engineering, data science, information technology, or a related technical discipline.
- At least five years of professional experience in software development and technology delivery.
- Strong hands-on Python expertise for enterprise applications and AI-driven solutions.
- Experience with enterprise AI platforms such as Google Gemini Enterprise, Azure AI Services, AWS AI Services, or equivalent platforms.
- Experience developing generative-AI applications and integrating with large language models.
- Familiarity with LangChain, LangGraph, Semantic Kernel, or similar AI-orchestration frameworks.
- Experience with cloud services such as Compute Engine, Cloud Storage, Cloud Run, IAM, Azure, AWS, or equivalent technologies.
- Understanding of software-development lifecycle practices and enterprise-grade engineering standards.
- Experience with APIs, databases, microservices, and integration patterns.
- Familiarity with version control, CI/CD pipelines, and automated testing practices.
- Strong analytical, problem-solving, and communication skills.
- Financial-services or highly regulated-environment experience is preferred but not required.
- Experience using AI-assisted development tools such as GitHub Copilot.
Benefits
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
- The posting describes the role as based in India and part of State Street Investment Management's Emerging Technology and Transformation team.
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About State Street
At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making. With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities: Investment Services: Integrated front-to-back solutions across custody, accounting, and operations. Investment Management: Index and active strategies from one of the world’s largest asset managers. Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value. Who We Are • 50,000+ employees worldwide • Active in 100+ markets • #1 in ETF servicing What You’ll Find Here • Executive perspectives and thought leadership • Timely market commentary and macro insights • Our views on investment operations, ETFs, private markets, and digital finance • Stories reflecting our culture, values and commitment to diversity and inclusion