1693 Ai Software Engineering Manager jobs in Chicago,IL

8+ years of professional software development experience
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
Strong proficiency in one or more relevant programming languages, .NET and C#
Proven experience leading the delivery of complex software solutions in an agile environment
Fluency in Kubernetes/AKS and advanced SDLC/GitOps practices (blue/green, canary, observability stack design)
Experience integrating with cyber-physical systems (robots, ASRS, IoT) including secure service communication and latency domain orchestration
Deep knowledge of WES/WMS, supply chain automation, and multi‑site orchestration for high‑availability logistics or manufacturing systems
Experience with cloud platforms (e.g., AWS, Azure, GCP) and related technologies
Understanding of CI/CD pipelines and DevOps practices
Expertise in designing domain‑driven microservices (stateful/stateless), eventing patterns (sourcing, idempotency, replay), and high‑volume, low‑latency systems
Ability to build AI/ML inference systems, model-serving APIs, and recommendation pipelines with full auditability and lifecycle management
Proven track record of modernizing legacy systems using strangler patterns and decomposing monoliths in complex operational environments
Deep understanding of software architecture principles, design patterns, and system scalability
Strong problem-solving, analytical, and debugging skills
Strong communication, collaboration, and interpersonal skills
Strong technical leadership skills with the ability to set technical vision and guide a team
Actively participate in and champion team ceremonies contributing to the successful delivery of sprint goals and continuous process improvement
Stay up-to-date with the latest technologies and trends, proactively identifying opportunities for improvement and innovation within the engineering processes and technology stack
Mentor and guide junior and mid-level engineers, fostering their technical growth, providing constructive feedback, and promoting a collaborative team environment
Tackle complex technical challenges, troubleshoot issues, and provide innovative solutions
Conduct thorough and constructive code reviews to ensure code quality and knowledge sharing within the team
Establishes and champions high standards for knowledge management within the team, ensuring clear, comprehensive, and easily accessible documentation for all developed features and solutions
Provide strong technical leadership and guidance to the software engineering team, setting the technical vision and ensuring alignment with product goals
Lead the design, development, and deployment of complex software solutions, taking ownership of technical deliverables from conception to launch, within an iterative development process
Ability to work in a fully remote environment