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Software Development, Software Architect, AI Engineer (Applied​/Software)

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Zohorecruit
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Chicago, United States | Posted on 09/22/2026

Location: Peoria, IL and/or Chicago office (Chicago preferred) - Hybrid; must go in office 2 days a week

Duration: 12 Months,possibility to be extended

Exp: 10-12 Years not more than 15 yrs

Description:

We are seeking a visionary Lead Software Engineer to architect and deliver next-generation software platforms driven by Artificial Intelligence and Agentic workflows. In this senior leadership role, you will bridge the gap between core full-stack application development and cutting-edge Large Language Model (LLM) integration. You willwork with several high-performing engineering teams, championing the adoption of AI coding assistants to radically accelerate our internal developer velocity while designing reliable, production-grade AI systems for our customers.

Position’s

Contributions to Work Group :
Technical Architecture & AI Integration
  • Design and orchestrate multi-agent workflows andstateful AI systems using modern frameworks like Lang Chain, Lang Graph, Auto Gen,or CrewAI.
  • Integrate foundation models (e.g., Anthropic Claude, OpenAI GPT, and Google Gemini) via secure API gateways, managing token limits, costs, and rate-limiting.
  • Architect data models optimized for AI-native structures, integrating relational databases with vector databases for semantic search and Retrieval-Augmented Generation (RAG).
  • Implement robust white-box testing and continuous evaluation metrics to monitor AI outputs for factual correctness,hallucinations, and safety compliance.
  • Champion secure, reliable, and scalable software solutions through architectural leadership, risk management, and continuous improvement of engineering practices.
Typical task breakdown:

Technical Leadership & Workflow Optimization:
  • Mentor and scale an engineering team,establishing engineering standards, best practices and architectural governance for secure coding, continuous integration, and cloud-native deployment.
  • Drive AI-assisted engineering velocity by integrating next-gen development tools (e.g., Cursor, Claude Code, Windsurf) into the team's daily Software Development Life Cycle (SDLC).
  • Establish governance policies and coach developers on the responsible use of AI, focusing on input data sensitivity,license compliance, and security guardrails.
  • Evaluate existing systems, services, APIs, anddata models to identify opportunities for modernization, scalability, and performance improvements.
Influence Across Teams & Champion Developer

Experience:
  • Facilitate technical leadership forums with Product Owners, Technical Leads, Architects, and Engineering Managers.
  • Drive conversations around architecture,engineering health, technical debt, AI adoption, and continuous improvement.
  • Mentor engineers and technical leaders on system design, software architecture, and engineering excellence.
  • Foster collaborative decision-making through architecture reviews, RFCs, and technical discussions.
  • Promote self-service engineering capabilities and platform enablement.
  • Drive automation initiatives that improve productivity and software quality.
Interaction with team :
  • Significant interaction required with Scrumteam. Interaction during all scrum ceremonies such as Daily Standups, Sprint Planning, Grooming, Retro, Demo etc. Also need to interact with team for PRReviews, also need to engage with other teams as needed.
Education & Experience

Required:
  • Bachelor’s degree in Computer science or Electrical engineering or related field, Plus 10+ years exp
  • Master Degree plus 8+ years exp
Core Software Engineering
  • Backend Systems:
    Deep proficiency in backend environments,microservices architectures, and API design using Java.
  • Cloud & Dev Ops:
    Extensive experience with containerization (Docker, Kubernetes) and public cloud infrastructure like AWS
  • Orchestration &…
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