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 design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.

Design, build, and deploy scalable AI and GenAI solutions by wrangling data, developing ML models, and maintaining data infrastructure. Collaborate with clients, perform complex analyses, apply NLP and deep learning techniques, and mentor junior team members to deliver production-ready AI systems.

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.

As an AI Commercial Strategy Manager at PwC, you will execute AI commercialization strategies, lead AI adoption, and ensure alignment with business objectives while providing leadership and mentoring in a consulting capacity.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

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.

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

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.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

The ERP AI Engineer - Manager at PwC leads teams in AI/ML engineering, manages client relationships, and designs AI solutions, all while mentoring team members and addressing complex business challenges.

As a Manager, you will supervise teams, manage client engagements, and facilitate the implementation of Dynamics 365 ERP Finance. This includes analyzing complex business issues and ensuring adherence to methodologies and standards.

As a Senior Associate, you'll leverage Dynamics 365 applications to craft solutions, analyze complex problems, mentor team members, and manage project tasks tirelessly while strengthening client relationships.

The role involves leveraging Microsoft Dynamics technologies to solve client business issues, managing projects, and delivering solutions in a consulting capacity.

Lead large-scale Microsoft Dynamics 365 CRM projects, provide strategic guidance, innovate processes, and coach teams while engaging senior clients to achieve operational excellence.

Lead the design and implementation of Microsoft Dynamics ERP solutions, manage large-scale projects, and innovate processes to enhance operational efficiency and client outcomes.

Lead the design and implementation of Microsoft Dynamics 365 solutions, mentor team members, manage projects, and enhance client relationships to achieve operational efficiency.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Lead design and delivery of knowledge-graph and semantic AI solutions: model problems for KG and LLM use, design ontologies and pipelines, build graph-based ML, justify semantic architectures to clients, and collaborate across business and technical teams to implement end-to-end Data & AI solutions.

Lead design and delivery of knowledge graph and semantic AI solutions: architect ontologies and data pipelines, build graph-based ML and LLM integrations, justify semantic-layer value to stakeholders, manage teams, support sales and client engagements, and advance generative AI and agentic solutions.

The role involves designing AI-native solutions for enterprises, integrating AI platforms, and engineering scalable workflows while collaborating with clients and stakeholders.

Lead enterprise AI product strategy and roadmap, identify and prioritize AI use cases, and deliver copilots, workflow agents, automations, and analytics. Drive cross-functional execution with Engineering, PMO, and business teams, run experiments and POCs, ensure governance and measurable ROI, mentor product teams, and champion adoption and operational scaling of AI solutions.

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.

Design, build, and operate scalable AI-enabled applications integrating LLMs and agentic frameworks. Develop backend services, APIs, cloud solutions (GCP), perform testing, troubleshooting, system validation, and cross-team integrations while documenting and prioritizing issues.