Top AI & Machine Learning Jobs in Chicago, IL

Lead ZAIDYN's AI Engineering function to design, build, and ship an enterprise-grade agentic AI platform. Own architecture, integrations (AWS Bedrock/AgentCore), LLMOps/eval frameworks, observability, governance, and team hiring/operations. Ensure production readiness, cost/latency controls, auditability, and cross-functional delivery with product and QA while representing the platform externally.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

Develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. Identify trends, evaluate emerging data technologies, and communicate analytical findings to clients and ZS stakeholders. The role requires collaboration across multiple projects, strong quantitative and research skills, and proficiency with Python, SQL, Pandas, and PySpark. Client-facing work may require travel.

Lead teams to build scalable AI applications, develop client relationships, manage budgets, and mentor talent in the AI field.

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

Lead architecture, design, and delivery of GenAI-enabled, large-scale distributed systems across frontend, APIs, services, data, and AI layers. Define standards, guide technical reviews, ensure production readiness, partner with cross-functional teams, and mentor engineers to drive scalable, reliable, and maintainable platform solutions.

Lead client-facing delivery of enterprise data and AI platforms on Azure and Databricks. Drive architecture, lakehouse design, scalable ETL/ELT pipelines, data governance, and Agentic AI solutions. Manage cross-functional teams, stakeholder alignment, agile delivery, and AI strategy/governance while contributing to thought leadership and reusable accelerators.