Artificial Intelligence Jobs in St. Louis, MO

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.

Embed with clients to discover high-ROI automation opportunities, map current and future-state workflows, build ROI-backed roadmaps, translate requirements to engineers, lead change management, own client outcomes end-to-end, and codify reusable frameworks for scaling AI-driven process automation.

Quota-carrying sales executive responsible for sourcing, developing, and closing technology consulting engagements focused on AI. Manage full sales cycle from prospecting to proposal and contract negotiation, build and maintain pipeline, collaborate on go-to-market strategies, engage executive-level buyers, and participate in marketing events. Hybrid role with travel (~20-25%).

Lead end-to-end AI transformation engagements: diagnose opportunities, build 0-to-1 prototypes, deploy AI tools, manage senior client relationships, and support go-to-market. Balance strategy and hands-on execution while shaping internal delivery practices.

Senior AI Software Engineer responsible for designing, developing, and deploying generative AI, LLM-powered, and agentic AI systems. Lead system architecture, implement secure cloud-native deployments and CI/CD, collaborate cross-functionally, monitor and optimize production AI, mentor engineers, and enforce technical rigor and documentation for mission-focused federal solutions.

Lead AI transformation and pre-sales solution strategy for enterprise customers using Microsoft AI and Copilot technologies. Drive discovery, architecture, workshops, demos, POCs, governance, and adoption planning. Orchestrate partners and cross-functional teams, translate technical capabilities into measurable business outcomes, and coach peers while scaling repeatable solution plays across accounts.

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.

Serve as a senior analyst in the AI Transformation Office to translate business needs into AI solutions, lead root-cause analysis, define AI tool recommendations, partner with stakeholders, mentor analysts, and use AI assistants and agentic tools to accelerate delivery and adoption.

Lead analysis and root-cause resolution for business and technical problems, translate business questions into reporting and AI solution requirements, guide stakeholders with data and reports, design end-to-end AI solutions with IT and engineers, use AI assistants and agentic tools to accelerate delivery, mentor analysts, and manage multiple projects to improve processes and implement AI initiatives.

As an AI Engineer, lead a team to design and deploy AI-driven solutions on Google Cloud Platform, managing AI agents and promoting best MLOps practices.

Design, develop, and maintain mission-focused web applications and operational UIs for national defense and cybersecurity. Build AI-enabled applications, integrate AI/ML and APIs, develop frontend and backend services (JavaScript, Python), and support deployment and secure production operations.

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.

Lead a portfolio of AI initiatives from strategy through delivery, manage cross-functional teams and vendors, drive AI governance, change management, training, adoption, and measure impact to expand AI capabilities across the firm.

Lead presales for data and AI initiatives: design and present Microsoft Fabric-based data platforms, run discovery and AI workshops, scope proposals, translate technical designs into business value, mentor delivery, and support go-to-market and thought leadership.

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.