Top AI Automation Jobs in Chicago, IL

Lead AI strategy and prototype applied AI solutions (PoC to production) using LLMs, diffusion/image models and modern tooling. Build scalable software architectures, expand internal AI competencies, track industry trends, and collaborate with leadership and clients to deliver enterprise-grade AI products.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

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 applied AI/ML initiatives, design and deliver production-grade software, develop secure high-quality code, troubleshoot, automate remediation, evaluate vendor architectures, champion best practices across engineering, and drive adoption of AI/ML, NLP, LLMs and streaming technologies.

Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.

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.

Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.

Contribute to building and hardening micro-apps and AI integrations on a shared GCP platform. Complete bug fixes and small features, participate in code and design reviews, apply security and software development best practices, monitor applications and follow runbooks, and use AI tools to assist development, testing, and documentation while learning from senior engineers.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.

Support AI project teams by executing workstreams, preparing client-facing presentations and documentation, assisting implementation activities, maintaining required certifications, using relevant technology, communicating with stakeholders, and traveling as needed for client engagements.

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.

Lead development and scaling of a customer-facing AI agents platform. Own roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy voice and automation models, improve automation rates and answer quality, and drive experiments using data and SQL.

Lead product development and scaling of Jerry.ai's AI agent platform. Define roadmap, design prompt strategies and guardrails, partner with engineering and OpenAI, run experiments to improve automation, answer quality, and customer satisfaction, and establish platform standards and evaluation frameworks.

Lead development and scaling of an agentic AI platform that automates customer sales and service using LLMs, human-in-the-loop feedback, and APIs. Drive roadmap, prompt strategies, evaluation frameworks, guardrails, and partnerships (e.g., OpenAI) to improve automation rates, quality, and customer satisfaction.

Lead development and scaling of a customer-facing AI agent platform: design prompt strategies, evaluation frameworks, guardrails, and integrations with OpenAI. Partner with engineering to improve automation, answer quality, and customer satisfaction through experimentation and production-grade deployment of LLM-based agents and workflow automation.

Lead end-to-end development and scaling of a customer-facing AI agents platform using LLMs and internal APIs. Define prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation rates and customer satisfaction while partnering with engineering and OpenAI.

Lead product development and roadmap for an agentic AI platform that automates customer sales and service. Partner with engineers on prompt strategies, evaluation frameworks, guardrails, and API/system design. Drive experimentation to improve answer quality, automation rates, and customer satisfaction, and work with partners like OpenAI to deploy advanced voice and workflow models.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

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 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 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.

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.

Build and ship AI-native systems for a fintech app: AI agents, RAG/retrieval systems, tool-calling and automation for onboarding, KYC, support, risk, CRM and operations. Work with product and engineering to design reliable, low-hallucination, cost- and latency-aware solutions and turn manual processes into scalable AI-enabled systems.

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.