Top AI Jobs in Chicago, IL

The Director, AI Solutions Architect leads the development of scalable AI solutions, ensuring quality and compliance while collaborating with cross-functional teams.

Develop and test AI-powered applications and internal tools using LLMs and APIs. Build prototypes, integrate AI services into mobile/web/backend systems, participate in code reviews and sprints, and apply best practices in software engineering and AI development while learning and collaborating with product and design teams.

Design, build, and deploy scalable AI and GenAI solutions: data wrangling, model development (NLP, neural networks, reinforcement learning), data pipelines, cloud-based infrastructure, client collaboration, and mentoring junior team members to deliver production-ready ML systems.

Lead design and delivery of enterprise integrations, automation, and AI-enabled workflows across SaaS platforms. Architect scalable APIs, conversational IT/self-service experiences, and agentic LLM workflows while partnering with Security, Infrastructure, and Product to ensure governance, reliability, and operational excellence.

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

Participate in a two-day hackathon solving nonprofit data problems and network with Data & AI teams. Potential pathway to a 2027 Data & AI summer internship where you would build end-to-end data, analytics, and ML solutions, design data platforms and pipelines, develop production-ready models and dashboards, ensure data governance and compliance, work on agile teams, and deliver data-driven recommendations.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

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 design, build, and operate scalable cloud-native data pipelines, microservices, and streaming ingestion on AWS. Partner with architects and stakeholders to define data architectures, enforce data quality and automated testing, monitor production systems, and drive CI/CD and operational excellence for AI and autonomy initiatives.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

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 development and deployment of generative AI solutions and assistants using Python, FastAPI, and AWS. Build CI/CD with GitHub Actions, manage infrastructure with CloudFormation, integrate GenAI frameworks (LangChain, LangGraph, Semantic Kernel, Crew.ai), collaborate with data scientists to productionize models, and assist in ML/AI pipelines using Apache Airflow.

Lead enterprise AI transformation and solution architecture engagements. Advise executives on AI strategy, design end-to-end AI architectures (RAG, knowledge graphs, AI Agents), define data catalog and governance programs, embed responsible AI controls, and drive adoption through change management, enablement, and practice development across complex multi-stakeholder implementations.

Lead product strategy and delivery for Capital Ones AI coding and developer experience tools. Translate frontier AI into governed, developer-loved products that scale AI-augmented workflows, improve code review, embed enterprise standards, and accelerate software delivery through cross-functional leadership and data-driven decisions.

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.

Lead the AI engineering roadmap for Digital Operations, delivering end-to-end AI products (LLMs, RAG, copilots, agents) from prototype to production. Integrate AI with enterprise data, marketing systems, and cloud platforms, build reusable frameworks, ensure governance and monitoring, and drive adoption through pilots and measurable business impact.

Design and operate AI agents and decision-support systems for GTM workflows. Embed in field motions, translate stakeholder research into prioritized backlogs, ship and iterate on production solutions, monitor adoption and quality, and scale reusable intelligence across revenue teams.

Lead Enterprise AI product strategy for Associate Experience, unify AI initiatives, set governance and roadmaps, drive adoption via enablement and standardized interaction patterns, and manage cross-functional alignment and a product team integrating AI agents and core services.

Lead AI and GenAI data science engagements: perform advanced analytics, build predictive models, design data pipelines and warehouses, validate large datasets, produce data visualizations, coach teams, and advise clients on data-driven solutions and systems-level opportunities.

Design, build, and deploy AI and machine learning solutions at scale. Develop data pipelines and scalable models, perform data wrangling and analysis, apply NLP and neural networks, collaborate with clients and teams, and contribute to open-source and iterative improvement of AI systems.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Design, build, and operate agentic AI systems end-to-end for Professional Services. Translate stakeholder needs into secure, scalable multi-agent architectures, define performance benchmarks, manage deployments and incident response, advise leadership, mentor teammates, and maintain runbooks and production tooling including on-call responsibilities.

Lead and scale GM's enterprise Privacy and AI governance operations: build workflows, training, metrics, reporting, and documentation; operationalize AI impact assessments and governance platform; drive continuous improvement, automation, and cross-functional stakeholder alignment to strengthen privacy and responsible AI program maturity.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.