Artificial Intelligence Jobs in St. Louis, MO

Lead process excellence engagements using AI and automation: assess industry trends and benchmarks, design AI-integrated future-state processes and AX designs, perform process analysis, build data-driven frameworks and change-impact assessments, create AI agents and visualizations, and contribute to domain knowledge and playbooks.

Early-career role to build, operate, and improve cloud data/analytics platforms (Fabric, Snowflake, Databricks). Support platform operations, CI/CD for analytics assets, onboarding for BI tools (Power BI/Tableau), runbooks, monitoring, incident response, and basic security/governance. Work under senior mentorship and contribute to automation, deployment templates, and performance triage.

Lead architecture, operation, and improvement of cloud data and analytics platforms (Fabric, Snowflake, Databricks). Own CI/CD for data assets, BI delivery (Power BI/Tableau), reliability, monitoring, incident response, security, and governance. Enable teams through standards, runbooks, and onboarding; troubleshoot performance and ensure production stability.

The AI Implementation Specialist will integrate AI tools within construction teams, enabling them to work smarter and capturing expert knowledge to inform technology development. Responsibilities include shadowing project teams, evaluating contech tools, and conducting training sessions on AI workflows for field personnel.

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.

Serve as a trusted AI security advisor to clients: design pragmatic AI-focused security solutions, drive sales pipeline, qualify and scope opportunities, lead demonstrations and evaluations, partner with delivery teams, evangelize AI security thought leadership, and maintain stakeholder relationships to deliver comprehensive AI security programs.

Lead delivery and technical direction for data solutions: define scope, anchor proofs-of-concept, provide solution architecture, integrate third-party services, manage timelines and budgets, ensure customer satisfaction, mentor teams, support sales and proposals, and run PMO practices across large multi-team engagements.

The Chief of Staff will drive AI transformation initiatives, lead client engagements, design AI processes, and manage projects to achieve organizational goals.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA developer-platform optimizations. Engage enterprise development leadership, design pilots and benchmarking services, scope consulting engagements, and collaborate within regional PODs to drive AI-accelerated application performance and developer productivity.

Quota-carrying sales role focused on generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners to build pipeline, craft executive pitch decks, position AI infrastructure and services, and drive multi-phase consulting and deployment engagements with disciplined CRM and forecasting.

Serve as the pre-sales consulting partner in a regional AI pod: scope and sell AI consulting engagements, design assessments/workshops/pilots, develop service proposals, justify AI infrastructure investments, drive workforce AI and coding-assistant services, ensure clean handoffs to delivery, and build repeatable service frameworks to accelerate customers from exploration to production.

Serve as the technical pre-sales architect for regional AI deals: design end-to-end AI/ML architectures, lead discovery and POC work with the Advanced Technology Center, create reference architectures/BoMs/sizing, align with NVIDIA and hyperscaler partners, and ensure clean handoff to delivery teams while co-selling with field teams to win revenue.