A highly motivated and hands-on engineer to serve as Senior Agentic AI Engineer. This role will report to the Agentic AI Engineering Lead and will design, build, test, and support production-grade agentic AI solutions and reusable platform capabilities. 

Why this role is important to us 

Agentic AI is changing how teams automate workflows, access enterprise knowledge, and improve productivity. Successful adoption depends on engineers who can turn business needs into reliable, secure, and scalable AI applications. The Senior Agentic AI Engineer will build intelligent agents and reusable platform components supporting investment research, investment performance, data operations, and related enterprise workflows. 

What you will be responsible for 

In this role, you will: 

• Design, build, test, deploy, and support production-grade agentic AI applications and services. 

• Develop intelligent agents using large language models, agent frameworks, orchestration workflows, memory, tool calling, and human-in-the-loop patterns. 

• Build and optimize retrieval-augmented generation pipelines using embeddings, vector databases, semantic and hybrid search, metadata, and enterprise content sources. 

• Integrate agents with enterprise APIs, databases, data platforms, workflow tools, and business applications. 

• Develop reusable services, libraries, templates, and engineering accelerators that improve the speed and consistency of AI solution delivery. 

• Implement prompt and agent evaluation, guardrails, monitoring, observability, tracing, reliability controls, and cost-management practices. 

• Contribute to CI/CD, automated testing, AgentOps, LLMOps, security scanning, and production-readiness activities. 

• Work with platform and data engineering teams to integrate agentic AI capabilities with cloud, Lakehouse, knowledge, and data services. 

• Collaborate with product owners, business users, architects, governance teams, and security partners to translate requirements into practical solutions. 

• Participate in design and code reviews, document technical decisions, and contribute to platform standards and reference implementations. 

• Mentor less-experienced engineers and share engineering practices across the team. 

What we value 

These skills will help you succeed in this role: 

• Strong hands-on software engineering and problem-solving skills. 

• Ability to translate business workflows into clear technical designs and working software. 

• Curiosity and willingness to learn emerging AI technologies while applying disciplined engineering practices. 

• Clear communication and the ability to collaborate effectively with technical and non-technical stakeholders. 

• A strong sense of ownership, attention to quality, and willingness to support solutions through production operations. 

Education & Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Engineering, or a related discipline. 

• 5+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or a related role. 

• Strong proficiency in Python and modern software development, testing, version-control, and code-review practices. 

• Hands-on experience building GenAI or agentic AI solutions using LangGraph, AutoGen, CrewAI, Semantic Kernel, Google ADK, or comparable technologies. 

• Experience with foundation models such as GPT, Gemini, Claude, Llama, or comparable models. 

• Experience implementing RAG, embeddings, vector search, prompt engineering, structured outputs, tool calling, memory, and agent workflows. 

• Experience developing APIs, microservices, event-driven services, and cloud-native applications. 

• Experience deploying solutions on AWS, Google Cloud Platform, and/or Microsoft Azure. 

• Familiarity with Kubernetes, containers, CI/CD, observability, and infrastructure automation. 

• Understanding of data engineering, distributed processing, Lakehouse technologies, metadata, data governance, and knowledge management. 

• Financial services, investment management, or enterprise platform experience is preferred but not required. 

Additional Requirements 

• Experience using AI-assisted development tools such as GitHub Copilot, Gemini Code Assist, Claude Code, Cursor, or comparable tools while maintaining code quality, security, and governance standards. 

• Ability to work independently, manage assigned deliverables, and meet deadlines in a cross-functional team environment. 

• Knowledge of Responsible AI, security controls, model evaluation, and production support practices. 

• Relevant cloud, AI, data, or software engineering 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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