Senior Associate, AI Enablement Engineer

State Street

Quick summary

Work type: On-site
Location: Quincy, MA
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $212k

$167k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $177,250–$246,150.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 132 open roles on FindRole.

Listed pay typically runs $120,000–$180,000 across 129 roles with salary data.

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At a glance

TL;DR · Senior Associate, AI Enablement Engineer

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As a senior associate AI Enablement Engineer at State Street’s Global Technology Services, you will leverage your expertise in Python and software engineering practices to build robust REST APIs and CLI tools. You’ll work with frameworks like LangChain and LlamaIndex to develop generative AI applications, ensuring data quality and governance while handling SQL and Spark for data management tasks. Additionally, you’ll implement CI/CD pipelines and containerization using Docker, and gain familiarity with AWS services such as Lambda and SageMaker. This role requires a strong foundation in artificial intelligence, machine learning, and natural language processing, enabling you to contribute to autonomous workflows and decision quality tracking within the financial technology domain.

Skills

Python LangChain Hugging Face Transformers AWS Lambda S3 SageMaker Git Docker CI/CD SQL Spark Natural Language Processing Cloud Computing REST APIs CLI tools Prompting Embeddings Vector search Evaluation techniques Agentic AI Concepts

What you'll do

Develop REST APIs and CLI tools using Python, including OOP, decorators, and async programming.
Implement prompting, embeddings, vector search, and evaluation techniques for GenAI and RAG systems.
Handle data quality, lineage, and governance using SQL and Spark in data engineering tasks.
Apply software engineering practices such as Git, unit testing, CI/CD pipelines, and containerization.
Work on agentic AI concepts like autonomous workflows, agent memory, and decision quality tracking.
Solve well-scoped problems independently and communicate findings clearly to stakeholders.

What we're looking for

Strong grasp of Python fundamentals including OOP, decorators, and async programming.
Understanding of generative AI basics, embeddings, vector search, and evaluation techniques.
Experience with SQL, Spark, data quality, lineage, and governance.
Proficiency in software engineering practices: Git, unit testing, CI/CD pipelines, Docker.
Basic familiarity with AWS services such as Lambda, S3, SageMaker.
Degree in Computer Science or related technical field with strong programming fundamentals.
Hugging Face Transformers Certification and AWS Certified Machine Learning – Specialty.

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