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# Software Architect - AI Accelerated Engineering Lead (Central)

- **Company:** Slalom, LLC
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $133,000.0 - $163,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Computer Programming, Continuous Integration, Cursor, DevOps, Python (Programming Language), Node.Js, Open Source Technology, TypeScript, Web Application Frameworks, Google Cloud, GitHub Copilot, ReactJS, Claude Code, Multi-Agent Systems, Prompt Engineering, Llamaindex, Generative AI, Agentic-AI, Event Driven Architecture, Kubernetes, Machine Learning Operations, Microservices
- **Published:** October 31, 2026
- **Apply:** https://www.adzuna.com/details/5886463625

## About the Role

* Experience: You should have significant experience (typically 6+ years) in building and operating production software. Leadership skills in system or platform architecture would be an asset. We welcome applicants with non-traditional career paths or equivalent skills gained through various experiences.
 * Hands-on AI-accelerated development: Daily use of agentic IDEs and advanced tooling (e.g., GitHub Copilot, Cursor, Claude Code) beyond basic chat interfaces.
 * Proven track record with GenAI integration: Experience delivering solutions where multiple developers collaborated with generative AI and AI agents using context engineering strategies.
 * Architecture expertise: Deep knowledge of APIs, microservices, eventing, reliability, and security.
 * Programming skills: Proficiency in languages like TypeScript/Node, Python, or Java; comfort with React/Next and modern frameworks.
 * Cloud & DevOps: Strong background with AWS/Azure/GCP, Kubernetes, CI/CD, IaC, and production observability.
 * Leadership & communication: Ability to guide teams, mentor engineers, and articulate value to both technical and business audiences.
Bonus Skills

 * AI orchestration frameworks (LangChain, LlamaIndex), vector databases, or model routing experience.
 * MLOps, AI governance, or safety practices.
 * Contributions to open source or thought leadership in AI-accelerated engineering.