Hiring: Principal, AI Engineer Company: Northern Trust Location: Chicago, IL Job Posted Time: 2026-09-03 14:47:42 Employment Type: Hybrid Target Skills & Keywords : .NET, AWS, Azure, Bash, C#, CPT, Data Pipeline, Encryption, Foundry, GCP, GitHub, Java, LLM, Linux, Neo4j, Pinecone, Portfolio Management, PostgreSQL, Product Management, PySpark, Python, RAG, REST, React, Regulatory Compliance, Risk Management, SQL, Shell, Snowflake, Stakeholder Management, Wealth Management, pgvector About the job Experience: •10+ years of experience in data engineering or integration, preferably in financial services or banking. Required Skills: •Lead development of a portfolio of client-facing AI capabilities and integration methods, embedding them into client front ends and interactive dashboards to ensure these capabilities are well aligned and meet required validation and responsible AI standards. •Develop and oversee business unit wise approach to integrate structured and unstructured data into NT’s enterprise AI framework in collaboration with the AI architecture, AI engineering, and data platform engineering teams. •Develop and lead the practice of data pipeline engineering, rationalizing custom data integrations over time to establish common methods and approaches. •Architect and implement data pipelines that integrate structured and unstructured data from internal banking systems, external feeds, and cloud platforms for AI/ML use cases. •Drive our semantic architecture and engineering approach for Northern Trust intelligence to advance enterprise context engineering and architecture disciplines. •Partner cross-functionally with the AI consulting team, business units, data scientists, model risk teams, and other stakeholders to understand data requirements for AI models supporting key use cases such as portfolio management, quants & research, reconciliations, and customer intelligence; drive engineering specifications and delivery for these capabilities. •Ensure sound practices are executed to deliver and maintain metadata management, data lineage, and audit trails for AI data assets as development and data teams expand AI data access. •Provide leadership to multiple Technical Delivery teams to prioritize and refine critical data deliverables based on business use cases and high-value data assessments. Qualifications: •Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Compensation: •$137,400 - $233,600 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!