Top AI Jobs in Chicago, IL

The role involves advanced data analysis, designing data solutions, developing machine learning models, collaborating across teams, and providing strategic insights to improve business decisions.

The Director of Product Management will establish product vision, lead strategy development, focus on customer experience, and ensure product profitability. This role involves working with cross-functional teams and maximizing operational efficiency.

Lead the growth and automation of Jerry.ai's insurance marketplace, focusing on systems, strategy, and cross-functional collaboration to enhance user experience.

Lead the AI Center of Excellence, developing the AI roadmap, governance frameworks, and scalable AI solutions to enhance operational efficiency and innovation.

Lead the design, training, and deployment of ML and LLM models, oversee cloud-native microservices, and mentor team members.

The AI Engineer - Manager will design AI solutions, lead teams, mentor staff, and drive strategic planning while delivering high-quality outcomes.

In this leadership role, the Principal Architect develops and implements enterprise-wide data security strategies, focusing on AI and ML challenges, while mentoring teams.

This role involves supporting the application product lifecycle for clinical software, focusing on data integration and AI initiatives, while collaborating with stakeholders to translate business needs into technical requirements, and leading project delivery.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

The role involves managing the Velocity Black Concierge product, collaborating with stakeholders, enhancing luxury concierge offerings, and prioritizing product development based on customer experience and business needs.

Manage the vision and strategy for healthcare consulting products, overseeing execution, collaborating with teams, and ensuring market needs are met.

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

This role involves consulting on integrating ServiceNow with third-party platforms, utilizing AI technologies, developing solutions, and ensuring best practices in system integrations while resolving user issues within a customer engagement team.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

The Director of AI Partner Solutions will develop go-to-market strategies, manage partner relationships, and drive revenue through partner-sourced opportunities in AI decisioning.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

Lead the development of AI-powered features for mental health therapy, collaborating with cross-functional teams to enhance patient experience.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.

As a Field Data Scientist, you will collaborate with clients to define use cases, improve product architecture, develop data pipelines, and refine ML models while ensuring successful customer outcomes.

The role involves planning, executing, and optimizing global marketing campaigns for the AI portfolio, focusing on cross-functional collaboration and performance monitoring.