Top AI Automation Jobs in Chicago, IL

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.

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.

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

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.

Lead intake, prioritization, and stakeholder engagement for enterprise AI opportunities; translate business problems into evaluable AI use cases, align to strategy and governance, define KPIs/ROI, and coordinate with execution teams and vendors to ensure responsible, feasible AI adoption.

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.

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

Hands-on intern building automations (Zapier/Power Automate/Make), GPT-based internal assistants, and a light RAG knowledge search. Deliver 3–5 live tools, clean documentation/SOPs, before/after time-saved metrics, and an end-of-summer demo. Onsite in Addison, IL for 10–12 weeks.

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

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

Design, build, and deploy production AI automation systems (RAG chat, multi-agent workflows, voice AI, computer vision). Architect Python/FastAPI backends, REST APIs, event-driven pipelines, and cloud deployments on GCP/AWS. Integrate vector databases, embedding strategies, BI reporting, and automation tools to deliver scalable, cost-effective AI solutions.

The Senior Data Scientist will design data pipelines, build models for fraud detection, and automate data analysis using AI approaches, while managing cross-functional projects and mentoring junior team members.

Build and maintain internal and customer-facing web/cloud apps and AI automations. Integrate with third-party APIs (QuickBooks, Microsoft Graph, Zoho, Zoom), implement generative-AI features, ensure security, deploy to cloud, and collaborate with leadership and IT. Work independently on design, testing, and maintenance across varied projects.

Lead the design and implementation of AI agents and automation across pro-code and no-code platforms. Define repeatable automation patterns, integrate AI platforms with business tools via APIs, build RAG pipelines and vector DB integrations, write Python scripts for complex integrations, and guide technical decisions while working closely with the VP of AI to review agent performance and scale solutions.

The Director of AI Automation leads AI-driven automation systems, translating strategic goals into practical solutions, managing teams, and enhancing operational efficiency.

The VP will transform R&D operations by embedding AI into product workflows, enhancing efficiency and decision-making across teams. They will lead system redesign, implement AI-driven analytics, and establish KPIs for continuous improvement.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

Design, build, and deploy AI-powered workflows, internal tools, assistants, and platform capabilities to automate operational processes. Integrate LLM APIs, RAG/vector retrieval, and backend systems, collaborate with product and operations, and deliver production-ready solutions that reduce manual work and scale GreenLight's operations.

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.