Lead Engineer jobs in Chicago, IL

The AI Platform Engineering Lead drives the strategy, architecture, and governance for AI/ML infrastructure, including GPU clusters, RAG pipelines, and agentic AI systems. They manage the AI Platform Operations team, oversee budgets, and ensure scalable, secure, and compliant platform operations across the enterprise.

Lead the architecture and hands-on development of scalable Salesforce solutions across Sales Cloud, Service Cloud, CPQ, and Conga CLM, taking complex implementations from requirements through production. Establish engineering standards, review designs and code, mentor engineers, collaborate across business and technical teams, and address platform risks, technical debt, reliability, and data quality.

You will lead the architecture and development of scalable full-stack applications while integrating AI-powered features. Additionally, you will mentor junior engineers and collaborate with stakeholders to modernize legacy systems and ETL pipelines.

The Lead Software Engineer will design, develop, and troubleshoot secure, high-quality production code while leading technical initiatives across multiple business functions. They will also drive the adoption of AI-assisted engineering practices and mentor team members to improve operational stability and code quality.

Provide senior technical leadership for Analytics Engineering, shaping data foundations, modeling standards, architecture, governance, quality, tooling, and developer experience. Build trusted canonical datasets, semantic layers, and AI-enabled analytical tools that support self-service analytics and improve decision-making across the company.

Own canonical data models and KPI definitions for payments, billing, subscriptions, identity, and Trust & Safety across Scribd, Everand, and Fable. Improve data quality, observability, and lineage; build AI tools on certified data; and set technical standards while influencing partners and mentoring colleagues.

Design and build production-grade conversational and Agentic AI applications using Python and modern software engineering practices. Develop and integrate RAG solutions, enterprise-grounding, and agent orchestration while ensuring secure authentication and observability.

Lead the technical design, development, and deployment of mobile applications while serving as a client-facing solution architect. Manage day-to-day execution across distributed engineering teams in the US, India, and Mexico.

The Lead Full Stack Engineer will provide technical leadership for the Platform team, making architectural decisions and maintaining hands-on involvement in code. They will also own the infrastructure, CI/CD pipelines, and governance standards to ensure reliable and secure product delivery.