Senior Associate - AI Enablement Engineer

Looking For:         This opportunity is ideal for individuals interested in contributing to our team as a   senior   associate   AI Enablement Engineer   within State Street’s Global Technology Services organization. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients.   We’re   driving the company’s digital transformation and expanding business capabilities using   industry   best practices and advanced technologies. The ideal candidate leads with integrity, embraces creativity, and invests in personal growth. This role requires a collaborative mindset, a passion for innovation, and the ability to inspire others.

In this role, you will perform the following day-to-day activities:     Python Fundamentals:   Strong grasp of Python, including OOP, decorators, and async programming. Ability to build REST APIs and CLI tools.   GenAI & RAG Basics:   Understanding of prompting, embeddings, vector search, and evaluation techniques. Exposure to   LangChain ,   LlamaIndex , or similar frameworks.   Data Handling:   SQL and Spark basics, with awareness of data quality, lineage, and governance.   Software Engineering Practices:   Git, unit testing, CI/CD pipelines, and containerization (Docker).   Cloud Awareness:   Basic familiarity with AWS services like Lambda, S3, and SageMaker.   Agentic AI Concepts:   Interest in autonomous workflows, agent memory, and decision quality tracking.   Problem Solving:   Ability to work independently on well-scoped tasks and communicate findings clearly.       In this role, you will have:       Engagement in meaningful daily work : You'll take ownership of specific tasks and projects, gaining hands-on experience and building confidence through real contributions.     A supportive learning environment : You'll exercise your judgment in a guided setting, with mentorship and supervision to help you grow.     Focused skill development : This role is designed to help you deepen your expertise in a specific area.     Clear structure and expectations : You'll work within well-defined parameters, giving you the clarity and focus to succeed.     Independent contributions : You'll have the opportunity to make an impact through your individual contributions while collaborating with a supportive team.     Focus on growth : While there are no people management responsibilities with this role, it is a great   stepping stone   for future leadership opportunities.     A collaborative team culture : You'll build strong working relationships with your peers and   supervisor , gaining valuable experience in a professional environment.         Education and Preferred Qualifications:       Candidates should be /have :    Enthusiastic about building a long-term career   in a dynamic, technology-driven organization   Effective communicators   with the ability to collaborate in a team-oriented environment   Open to feedback   and   committed to continuous learning   and improvement   Motivated by real-world problem solving   and eager to contribute innovative ideas   Degree in   Computer Science, Engineering, Mathematics & Computing, or related technical disciplines, with strong fundamentals in programming, data handling, and AI concepts   State Street internship experience strongly preferred     Certification nice to haves:    LangChain   for LLM Application Development   Hugging Face Transformers Certification   AWS Certified Machine Learning – Specialty     Core Competencies:       Candidates should exhibit   working knowledge   of the following   key skills   and proficiencies:       Artificial Intelligence (AI)   Machine Learning   Data Engineering   Cloud Architectures   Natural Language Processing (NLP)   Cloud Computing