Top AI Jobs in Chicago, IL

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

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 defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

Design, build, and ship production-grade agentic AI systems that connect code context with runtime observability. Implement end-to-end LLM systems (prompting, tool calling, retrieval, memory, agents), define evaluation metrics and datasets, integrate with development workflows and Dynatrace, set technical strategy, mentor engineers, and own monitored production systems.

Lead design and deployment of AI agents and automation across customer delivery, defining ROI and performance metrics, building RAG/LLM solutions, creating an AI playbook for CX teams, and partnering with Product and Engineering to drive adoption and quality in implementations.

Lead the design and delivery of scalable voice and chat solutions using Amazon Connect, focusing on integrations, reliability, and performance optimization.

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.

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.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

As a Software Engineer, you will build AI systems to enhance developer workflows, implementing agents and servers, and ensuring code reliability through evaluation pipelines.

Lead enterprise AI, advanced analytics, and data science strategy. Build and operationalize enterprise AI platforms (MLOps/LLMOps), oversee large-scale use cases, ensure governance and ethical compliance, drive adoption and measurable business impact, and manage and develop cross-functional teams.

The AI Solutions Delivery Architect will design and implement AI-based solutions, aligning with business strategies to optimize transformation. This role includes evaluating AI platforms, leading AI deployments, and ensuring effective adoption strategies across teams.

The AI Workflow Architect will identify automation opportunities, design AI workflows, build prototypes, and ensure seamless integration into production while engaging with business leaders across functions for operational efficiency.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.

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

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

In this role, you will drive revenue by promoting Braze AI tools, perform proofs-of-concept, and lead educational programs while collaborating with various stakeholders.

Lead cross-functional programs to transform customer support with AI-powered automation, agent tooling, analytics, and vendor evaluations. Define roadmap, size opportunities, set success metrics/OKRs, manage dependencies, and drive rollout/change management while partnering with Product, Engineering, Analytics, and Operations to deliver measurable CX improvements.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

The Applied AI Developer will design and develop AI applications, build infrastructure for agentic AI systems, integrate APIs, and collaborate with stakeholders on AI solutions.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

The Director of AI Enablement & Applications oversees AI application in customer experience, focusing on strategy, technology, and operational excellence, ensuring AI-driven solutions improve customer satisfaction and efficiency.