Lead, Enterprise Architect

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Lead, Enterprise Architect – Enterprise Architecture Your Role We are seeking a technically hands-on Enterprise Architect who combines strong architecture expertise with practical engineering capability. This individual will operate as a player-coach, contributing directly to solution design and implementation - writing code, building automation, and enhancing AI-driven solutions. This role is ideal for an architect who does not want to stay purely at the conceptual level, but instead actively participates in building, prototyping, and evolving enterprise solutions alongside engineering teams. Requirements/Responsibilities Architecture and Engineering Execution Design and evolve enterprise architecture patterns across cloud, SaaS, and AI-enabled platforms Directly contribute to codebases where appropriate (e.g., APIs, automation, integrations, AI agents) Develop proofs-of-concept and reference implementations to validate architectural decisions Develop solution designs for enterprise architecture solutions and consult with other teams as needed AI and Automation Development Design, build, and enhance AI agents and copilots using modern frameworks (e.g., Azure OpenAI, Copilot Studio, LangChain, Semantic Kernel) Contribute to prompt engineering, orchestration logic, and integration patterns Automate enterprise governance and operational processes using tools such as Power Automate, Azure Functions, Logic Apps, or similar Platform & Integration Engineering Write and review code for APIs, microservices, and integration layers Build reusable services and automation pipelines that accelerate delivery teams Assist in debugging, performance tuning, and resolving complex technical issues Governance & Standards Define and enforce architecture standards while ensuring they are practical and implementable Partner with engineering teams to ensure alignment between architecture and delivery Support modern engineering practices (CI/CD, IaC, testing strategies) into enterprise workflows Collaboration & Leadership Act as a bridge between architecture and engineering teams Provide hands-on technical guidance and mentorship to developers and solution architects Engage with stakeholders to align technical solutions with business needs Programming & Development Proficiency in Python, Java, JavaScript/TypeScript Experience building APIs, services, and automation workflows Familiarity with Git, CI/CD pipelines, and modern DevOps practices Cloud & Platforms Hands-on experience with cloud platforms (Azure preferred) Experience building and deploying cloud-native applications (containers, serverless, microservices) AI & Emerging Technology Practical experience building or integrating AI/ML or LLM-based solutions Understanding of agent-based architectures, prompt orchestration, and AI governance Ability to evaluate and apply emerging technologies in real-world enterprise contexts  Preferred Skills AI System & Agentic Workflows Design, build, and optimize agentic AI systems using modern agent frameworks (e.g., LangGraph, AutoGen, Haystack Agents, ReAct-style agents). Implement multi-agent collaboration patterns, task orchestration, memory architectures, tool integrations, and reasoning-enhancing