Associate AI Engineer

Northern Trust • Chicago, IL

1d

About The Position

Northern Trust is a global leader in wealth management, asset servicing, asset management, and banking services. Since 1889, the company has been guided by its principles of Service, Expertise, and Integrity. With over 135 years of financial experience and more than 24,000 partners, Northern Trust serves sophisticated clients using leading technology and exceptional service. This role focuses on building end-to-end AI-powered applications, integrating models, and developing AI agents within enterprise environments.

Requirements

• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
• Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Nice To Haves

• Experience with Databricks (Spark, Delta)
• Experience with Postgres
• Experience with LangChain, LangGraph, AutoGen, or similar orchestration frameworks
• Experience with React or similar front-end frameworks
• Experience with Python-based backend frameworks

Responsibilities

• Build end-to-end AI-powered applications (UI + backend services + model orchestration)
• Design and implement RAG pipelines for enterprise knowledge retrieval and grounding
• Develop and deploy LLM-based workflows and agents (multi-step reasoning, tool use, orchestration)
• Integrate models via APIs and hosted platforms (Databricks, Azure AI Foundry, etc.)
• Develop LLM evaluation frameworks (accuracy, hallucination detection, relevance, safety)
• Implement automated testing and benchmarking for prompt chains and agents
• Define and monitor LLM performance metrics (precision, recall, grounding fidelity)
• Support experimentation (prompt engineering, model comparisons, fine-tuning readiness)
• Build and optimize data pipelines leveraging Databricks (Spark, Delta)
• Design and query structured and semi-structured datasets using Postgres
• Enable efficient retrieval layers (vector search, embeddings, indexing strategies)
• Support data modeling for AI use cases (knowledge bases, feature stores)
• Develop AI agents within Databricks and Azure ecosystems
• Integrate orchestration frameworks (LangChain, LangGraph, AutoGen, or similar)
• Build reusable services/APIs for agent capabilities (search, summarization, reasoning)
• Contribute to lightweight front-end interfaces for AI applications (React or similar)
• Build backend APIs/services (Python-based frameworks)
• Ensure production readiness (logging, monitoring, scalability, security)

Benefits

• retirement benefits (401k and pension)
• health and welfare benefits (medical, dental, vision, spending accounts and disability)
• paid time off
• parental and caregiver leave
• life & accident insurance
• other voluntary and well-being benefits
• discretionary bonus program that may include an equity component

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed