Role at a glance
- Job function
-
AI & Data Large Language Model (LLM) Engineering
- Salary
- Not Disclosed
- Location
- Bangalore, India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Overall, 10+ years of work experience
- Education
- Batchlor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
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Role Summary
The CX Emerging Technology Architect will lead State Street IM’s Emerging Technology and Transformation team in India, combining technology leadership with hands-on solution architecture, design, and development. The role focuses on applying AI, automation, and modern engineering practices to operational transformation and innovation.
What You'll Do
- Architect, develop, and deploy scalable enterprise AI applications and capabilities, including LLM, RAG, and agentic workflows.
- Define AI and emerging technology roadmaps, and evaluate enterprise AI platforms and tools for adoption and scale.
- Drive technology modernization, automation, and digital transformation initiatives.
- Build, lead, and mentor a team of AI engineers and solution architects, while partnering with global business and technology teams.
- Drive responsible AI adoption through governance, model risk management, security, privacy, and regulatory compliance.
- Communicate strategy, recommendations, and business impact to senior stakeholders and executive leadership.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline; 10+ years of work experience. Strong hands-on Python expertise for production-grade applications and AI solutions; experience with enterprise AI platforms such as Google Gemini Enterprise, Azure AI, AWS AI services, or equivalent; AI strategy and platform selection; cloud services; LLM integration, prompt engineering, RAG, and agent-based workflows; software development lifecycle and enterprise-grade engineering practices; cloud-native and scalable application architecture; data platforms, APIs, and integration patterns.
Required
- Batchlor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
- Overall, 10+ years of work experience.
- Strong, hands-on expertise in Python for building production-grade applications and AI solutions.
- Experience with enterprise AI platforms such as Google Gemini Enterprise, Azure AI, AWS AI services, or equivalent, with the ability to...
- Proven experience defining AI and emerging technology strategy, including platform selection, build vs buy decisions, and alignment with...
- Experience with Cloud services such as Compute Engine, Cloud Storage, Cloud Run, IAM etc.
- Experience designing, building, and scaling AI capabilities, including large language model integration, prompt engineering,...
- Solid understanding of software development lifecycle and enterprise-grade engineering practices.
Preferred
- Experience in financial services or highly regulated environments is preferred.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Who are we looking for
State Street Investment Management ("State Street IM"), formerly known as State Street Global Advisors (SSGA), is seeking a hands-on technology leader to lead our Emerging Technology and Transformation team in India. This role combines technology leadership with strong technical depth and hands-on engagement in solution architecture, design, and development.
The successful candidate will drive Operational Transformation and Innovation initiatives through the application of Artificial Intelligence (AI), automation, and modern engineering practices. This leader will play a key role in evaluating, adopting, and scaling enterprise AI platforms such as Google Gemini Enterprise and other emerging technologies while collaborating closely with global Architecture, Security, Data, and Engineering teams.
The ideal candidate will have a proven track record of building and scaling high-performing engineering teams, delivering production-grade AI solutions, and enabling business transformation in a highly regulated enterprise environment.
What You Will Be Responsible For:
Architect and implement scalable AI solutions incorporating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, orchestration platforms, prompt engineering frameworks, and agentic workflows.
Define and execute the emerging technology and AI capability roadmap, aligning investments and priorities with strategic business objectives.
Evaluate and recommend enterprise AI platforms, tools, and technologies, balancing innovation with scalability, security, and operational excellence.
Drive technology roadmaps and modernization initiatives by identifying opportunities for platform evolution, automation, and digital transformation.
Design, develop, and deploy enterprise AI applications using Python, Google Gemini Enterprise, and modern AI frameworks including LangChain, LangGraph, and related technologies.
Build production-grade AI capabilities that deliver measurable business outcomes while maintaining enterprise reliability, performance, and maintainability.
Design cloud-native solutions leveraging modern cloud services, APIs, integration patterns, and data platforms.
Build, lead, and mentor a high-performing team of AI engineers and solution architects, fostering a culture of innovation, continuous learning, and engineering excellence.
Partner closely with global business, technology, data, security, infrastructure, and architecture teams to identify opportunities and deliver AI-driven business transformation initiatives.
Stay current with industry trends across cloud infrastructure, modern application architectures, data platforms, developer tooling, automation, and integration technologies.
Drive responsible AI adoption by ensuring appropriate governance, model risk management, security, privacy, and regulatory compliance.
Communicate strategy, recommendations, and business impact clearly to senior stakeholders and executive leadership
Education & Preferred Qualifications:
Batchlor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
Overall, 10+ years of work experience
Strong, hands-on expertise in Python for building production-grade applications and AI solutions.
Experience with enterprise AI platforms such as Google Gemini Enterprise, Azure AI, AWS AI services, or equivalent, with the ability to evaluate and adopt platforms based on enterprise needs.
Proven experience defining AI and emerging technology strategy, including platform selection, build vs buy decisions, and alignment with enterprise architecture standard.
Experience with Cloud services such as Compute Engine, Cloud Storage, Cloud Run, IAM etc.
Experience designing, building, and scaling AI capabilities, including large language model integration, prompt engineering, retrieval‑augmented generation, and agent‑based workflows for enterprise use case.
Solid understanding of software development lifecycle and enterprise-grade engineering practices.
Experience designing cloud-native and scalable application architectures.
Experience with data platforms, APIs, and integration patterns.
Experience in financial services or highly regulated environments is preferred.
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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About the company
State Street
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State Street is a leading financial services and bank holding company, headquartered in Boston, Massachusetts. With a strong focus on investment management and servicing solutions, State Street supports institutional investors worldwide by providing services such as asset management, investment research, and trading. Renowned for its commitment to innovation and sustainability, State Street leverages advanced technology and data analytics to enhance investment strategies and customer experiences. The company prioritizes diversity and inclusion within its workforce, reflecting its dedication to fostering a dynamic and collaborative environment.