Top Artificial Intelligence Jobs in Chicago, IL

The AI/ML Engineer will design, develop, and fine-tune machine learning models, implement AI techniques for optimization, manage large datasets, and collaborate with teams to ensure model integration into systems. They will also stay updated on AI advancements, document processes, and mentor junior members.

The AI Data Engineer will develop datasets for training and testing AI models, collaborating with engineering teams to define data specifications, optimize processes, and ensure data integrity. Attention to detail and automation of workflows are crucial in managing data acquisition, annotation, and conversion.

The Principal Data/AI Enterprise Architect is responsible for developing and leading the enterprise-wide data and AI architecture strategy, ensuring it aligns with business objectives. This role focuses on architectural design, collaboration with cross-functional teams, and the adoption of emerging AI technologies to enhance decision-making and operational efficiency.

As a Senior Software Engineer in AI Engineering, you will design and implement scalable backend services, integrate ML/AI capabilities into the ServiceNow platform, and lead code reviews. You will also mentor junior engineers, collaborate with cross-functional teams, and drive technical direction on key projects while ensuring best coding practices are followed.

The Applied AI/ML Lead will analyze business problems and develop machine learning and deep learning solutions. Responsibilities include leading AI/ML initiatives, collaborating with teams to define problems, and creating end-to-end ML pipelines. The role requires extensive knowledge of ML models, data science practices, and experience in deploying models in production settings.

As an AI & GenAI Data Scientist-Manager at PwC, you will oversee advanced analytics techniques, lead development teams in building AI solutions, and mentor team members. You will collaborate with clients to design AI architectures and manage project execution while ensuring quality and adherence to professional standards.

The Executive Director of AI Implementation will lead AI-driven solutions at a financial institution, focusing on compliance, risk management, and operational support. Responsibilities include cross-functional leadership, AI product development, model selection and management, and talent acquisition and management.

The specialist will design and implement technical features, write production-ready code, ensure quality through best practices, support technical requirement gathering, validate designs, and collaborate with data scientists to manage the ML lifecycle and develop AI models.

The R&D AI Consultant at ZS will develop AI and data science solutions for life sciences R&D. Responsibilities include collaborating with clients and internal teams, leading projects, mentoring junior staff, and contributing to thought leadership in AI applications for drug discovery and development.

The Applied AI Scientist will develop advanced algorithms for complex problems, utilize statistical and data mining techniques on large data sets, evaluate technologies, and contribute to the firm's thought leadership through research and publication.

Manage and train machine learning models for generative AI across various modalities, collaborating with cross-functional teams to deliver customer-focused products and contribute research to NLP conferences. Drive innovation by leveraging emerging technologies and applying data science solutions.

As a Staff Data Engineer, you will design, develop, and maintain Zoro's data infrastructure, lead large-scale projects, and mentor junior engineers. Your role includes building cloud-native data pipelines, integrating data, and ensuring compliance and data governance while driving innovation.

The Senior Conversational AI UX Designer role focuses on developing and refining conversational scripts and guidelines for AI interactions. Responsibilities include content development, collaborating with cross-functional teams, analyzing user feedback, and maintaining brand voice across all products to enhance user experience and satisfaction.

CNA's Tech Summer Internship Program provides hands-on experience for interns in building AI and ML solutions, deploying models, and creating automated analytics. Interns will participate in real-world tech projects while receiving mentorship and training in the insurance industry.

As a Senior Software Engineer, you will lead application development and integration, evaluate complex client requirements, design specifications, and ensure efficient solutions. Responsibilities include mentoring staff, coordinating with IT areas, and supporting production implementations.

This role focuses on the development and management of the Machine Learning Operations (ML Ops) product within Discover's Decisioning Platform. The Senior Principal Product Owner will create and present the product vision and roadmap, guiding requirements, managing priorities, and ensuring effective delivery. They will collaborate closely with stakeholders, define KPIs, and leverage customer insights to enhance product features, while also managing risks and customer-impacting issues.

As a Senior Software Engineer, you will develop AI-based shared services, collaborate with engineering teams, mentor peers, and lead technical projects. Your role involves coding, design reviews, identifying opportunities for improvement, and contributing to documentation.