Top Artificial Intelligence Engineer Jobs in Chicago, IL

As a Senior Associate in Data and Analytics Engineering, you will develop AI solutions, analyze complex problems, mentor team members, and build client relationships.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The AI Engineer role involves prototyping AI solutions, collaborating with cross-functional teams, validating workflows, and documenting technical learnings.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

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

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

As a Lead Software Engineer, you will develop Gen AI solutions, manage CI/CD pipelines, and collaborate with teams to enhance software products.

Develop scalable AI/ML software solutions, ensure quality and compliance, optimize performance, and collaborate on real-time systems. Manage data pipelines and models with a firm grasp of best practices.

The Lead Software Engineer will develop Generative AI solutions, manage CI/CD pipelines, deploy on AWS, collaborate with data scientists, and enhance AI capabilities.

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

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

The Staff Applied AI Engineer will lead AI-powered product development, focusing on multi-agent systems, workflow automation, and application UI generation, shaping the architectural direction and platform integration.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The Sr. AI Engineer will develop AI solutions for enhancing mental healthcare, leading projects from prototyping to production, and collaborating across teams.

As an AI Sales Engineer, you will provide technical leadership, advise customers on cloud capabilities, lead sales calls, and align product roadmaps with customer needs.

As a Senior AI Engineer, you'll implement AI solutions, facilitate customer workshops, lead development projects, and align strategies with business objectives, utilizing Azure and OpenAI technologies.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

The AI Engineer will design and develop machine learning models, integrate AI into APIs, optimize algorithms, and ensure adherence to ethical AI practices.

The role involves designing, building, and deploying AI agents to enhance supply chain and restaurant operations, focusing on automation and transformation of workflows through AI technology.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

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