Level

State Street

CX Emerging Technology Architect, Vice President

AI in this role

geminilangchainlanggraph
prompt-engineeringragai-agentsai-safety

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.


Discover more information on jobs at StateStreet.com/careers


Read our CEO Statement

How we rate this

CX Emerging Technology Architect, Vice President at State Street rates 73 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGAI AgentsAI SafetyGeminiLangChainLangGraph

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. How do you think about the risk of an AI system in this kind of role failing silently?
  5. Walk me through how you've used Gemini in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, AI Safety, and Gemini. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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