Top AI Automation Jobs in Chicago, IL

Design and develop GenAI agent components and templates, lead small implementation projects, create documentation and reusable "recipe cards," perform QA and debugging, analyze usage metrics, deliver user training, maintain version control, and support junior analysts.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

The AI Deployment Engineer collaborates with clients to translate business needs into AI use cases, designs conversational experiences, and implements AI solutions within Zoom's platforms.

This role involves designing and deploying AI-powered marketing solutions, integrating systems, writing code, and collaborating cross-functionally to enhance workflows.

The Senior Technical Product Manager leads the development of AI-enabled digital products, collaborating with stakeholders and managing the product lifecycle to drive business results.

The Partner Value Solution Engineer empowers partners by providing technical guidance, developing enablement programs, and managing relationships to enhance the selling and delivering of NiCE solutions, particularly within AI and customer experience technologies.

The Director of AI & Process Automation will identify automation opportunities, lead initiatives across functions, and ensure solutions are architecturally sound while driving measurable outcomes.

Lead onboarding and implementation of AI solutions in banks. Manage customer transformation journeys, ensure project alignment, and facilitate engagement with stakeholders to achieve maximum ROI.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

Support the Intelligent Process Automation Lab by managing business relationships, consolidating demand, prioritizing automation use cases, shaping portfolio strategy and roadmap, expanding RPA/AI PODs, enforcing discovery best practices and governance, and coordinating requirements and delivery with development teams.

Lead design and implementation of AI-enabled ITSM and lifecycle automation: integrate ServiceNow and enterprise platforms, build reusable AI-driven automation skills, automate incident/problem/change workflows, improve data flows and observability, and deliver dashboards and playbooks to accelerate end-of-life lifecycle execution and reduce manual effort.

The Principal AI Consultant will leverage deep insurance industry expertise to advise on AI applications, enhancing operational efficiency and improving customer experience in insurance services.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The role leads AI adoption across business functions, prioritizing use cases, building business cases, and driving organizational change necessary for successful implementation. It requires collaboration with IT leadership and the presentation of ROI to business stakeholders.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

Leads the design and optimization of AI-enabled business workflows, drives process transformation, and collaborates with teams to enhance efficiency and performance.

As a Staff Software Engineer, you'll lead AI initiatives, design systems, and collaborate with teams to build impactful customer service products using generative AI.

Lead the design and execution of AI-first automation solutions for Ops and Sales, partnering with leadership to create scalable workflows and ensuring high technical standards.

Lead the design and implementation of AI-driven workflows, ensuring future business capabilities are AI-first while collaborating with cross-functional teams.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.

The Sr. AI Automation Engineer will transform workflows with AI automation, build deployment pipelines, and integrate AI systems into business functions.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.