Lead, Solutions Consultant - Enterprise Architect

Requirements

• Bachelor's degree in computer science, information systems, or a related discipline, or an equivalent combination of education and work experience.
• Knowledge of enterprise architecture principles, patterns, and best practices, with familiarity in cloud computing and SaaS models.
• Excellent consultative and communication skills, and the ability to work effectively with business, partner, and IT stakeholders.
• Certifications such as Azure Solutions Architect, AWS Architect, or TOGAF a plus
• Experience in financial services or other highly regulated environments
• Familiarity with governance, compliance, and risk frameworks (e.g., NIST, FFIEC, GDPR)
• Working with Us:
• As a Northern Trust partner, greater achievements await. You will be part o

Additional Information

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Job 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 + 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 AI & 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 Introduce 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 strategies. Develop secure, robust, and scalable tool‑calling and function-execution flows for agents operating in dynamic environments. Automation & Integration Experience with workflow automation tools (Power Automate, Logic Apps, etc.) Strong understanding of system integration patterns (REST, messaging, event-driven architecture) Enterprise Architecture Knowledge of architecture frameworks (TOGAF, Zachman) with a pragmatic, execution-focused mindset Experience defining architecture patterns, standards, and reusable design components

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