Artificial Intelligence Jobs in St. Louis, MO

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

Lead and sustain continuous improvement initiatives across the organization, driving operational excellence and embedding improvement methodologies such as Lean and Six Sigma to optimize processes and outcomes.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The role involves leading data architecture initiatives, developing AI models, and collaborating with data scientists to optimize data solutions and drive strategic decision-making.

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.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

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 Sales Director for Data & AI is responsible for creating solutions to complex technology challenges, leading the sales cycle, and managing relationships with key clients. This role requires experience in selling cloud data solutions and collaborating with ecosystem partners.

As a Responsible AI Engineer, you will develop and implement AI models focusing on ethical practices, mitigating risks, and optimizing systems. You'll engage in full AI lifecycles and support best practices in responsible AI development.

Design, develop, and implement full stack custom software solutions, ensuring product quality through testing and contributing to team success.

The Director of AI Empowerment will lead initiatives to drive adoption of AI and GenAI tools across Zelis, enhance productivity, and ensure alignment with business outcomes through training, evaluation of emerging technologies, and collaboration with executive leadership.

Lead the design and development of scalable agentic AI systems, integrating advanced technologies and best practices to enhance content management solutions for health education.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

The AI Services Consultant develops and positions AI consulting engagements, collaborates across teams, and ensures service deliverables align with sales strategies.

The AI Solutions Executive will focus on generating and closing AI opportunities within enterprise accounts, collaborating with field sales teams, and managing the sales cycle from discovery to closure.

The AI Solutions Architect drives technical pre-sales engagements, designs AI solutions, coordinates POCs, and collaborates with partners to win deals.

The AI Solutions Director leads AI POD teams, focusing on performance, pipeline management, and guiding complex customer engagements to drive AI adoption and revenue growth.

As Lead AI Engineer, you'll design and deploy AI agents, lead AI research, build for production scale on GCP, and manage teams to innovate and solve business challenges using advanced AI technologies.

Lead the design and implementation of AI-driven workflows, ensuring future business capabilities are AI-first while collaborating with cross-functional teams.

The Data Analytics & AI Pre-Sales Engineer will lead opportunities in data and AI, design solutions using Microsoft Fabric, and guide clients on AI initiatives.

Oversee a portfolio of AI initiatives, drive strategy and execution, manage vendor relationships, and facilitate change management and adoption of AI tools.

Design, develop, and implement software applications, integrate AI capabilities, mentor team members, and contribute to the engineering process for project success.

The role involves supporting cloud data platforms, assisting with BI delivery, contributing to CI/CD workflows, and enhancing platform operations.