Artificial Intelligence Jobs in St. Louis, MO

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

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 role involves leading AI operations, managing incidents, mentoring junior staff, and ensuring operational excellence within managed services delivery while building client relationships.

Lead architectural strategy for migrating applications to AWS, assess cloud readiness, enhance team skills in AI-native engineering, and ensure successful implementation of migration projects while mentoring staff and managing performance.

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.

As an Advanced Analytics Intern, you will analyze data, assist with data modeling, and support AI initiatives while gaining exposure to real-world business applications.

Lead the transition to AI-first software engineering by architecting and deploying AI agents and GenAI solutions on GCP. Drive AI research, integrate agentic frameworks and RAG, enforce secure-by-design production pipelines, collaborate with architects and SREs, mentor teams, and quantify business impact through metrics and observability.

As the Business Architect for AI Strategy, you will lead AI initiative design, orchestrate requirements, measure success, and enforce governance frameworks.

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

As an AI Product Engineer, you'll develop, deploy and scale AI-powered products, working with teams to integrate and enhance business tools.

Serve as a strategic Chief of Staff to the Managing Director of AI, designing AI-enabled processes, building scalable automated engines, leading client engagements end-to-end, driving organizational AI rollouts, establishing governance and evaluation routines, and managing operations, resourcing, and executive communications to ensure measurable adoption and value.

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

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 Innovation Architect will drive strategic AI solutions, implement AI capabilities, collaborate with stakeholders, and mentor teams to adopt AI technologies effectively.

The AI Strategist leads AI initiative ideation and planning, collaborates across departments to define use cases, and ensures alignment with strategic and regulatory goals.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

Design and develop full stack applications, integrating AI into workflows, mentoring team members, and managing software quality and support.

As AI Resilience Fund Manager, you will build a fund focused on resilient investments against AI disruption and economic shifts, leading fundraising and portfolio strategy development for a long-term vision.

The Director of People & Culture AI Product Management is responsible for scaling AI solutions across HR functions, driving adoption and measurable outcomes while aligning with enterprise strategy.

Design, develop, and implement software applications integrating AI capabilities and enhancing user experience, while ensuring product quality and mentoring team members.