Artificial Intelligence Jobs in St. Louis, MO

The Territory Account Manager drives adoption and growth of Heartflow’s cardiovascular diagnostic technology within assigned hospital and physician accounts. Responsibilities include developing business plans, building relationships with cardiologists and referring physicians, educating customers, coordinating cross-functional resources, organizing clinical programs and events, and meeting account usage and revenue targets. The role is customer-facing, home-office based, and requires approximately 20–25% travel.

Manage a territory of 30–40 commercial accounts, exceed sales targets, develop existing and new customer relationships, and sell data center and networking solutions. Build executive-level relationships, use consultative selling, coordinate technical resources, manage channel partnerships, create account plans, conduct demand-generation activities, and position Arista solutions against competing technologies. Candidates must be located in the greater St. Louis or Kansas City areas and have strong networking or data center industry expertise.

Build and integrate secure AI assistants and chatbots into geospatial intelligence and mission-support applications. Develop LLM workflows using RAG, prompt orchestration, tool calling, and conversational context; connect AI services to enterprise data sources and APIs; and enforce access controls, provenance, auditing, and safety measures. Deploy and operate services in Kubernetes and OpenShift, including classified or disconnected environments, while evaluating AI quality, security, latency, and usability.

Leads Cyber & Risk business growth through daily prospecting, executive relationship development, complex solution selling, account strategy, pursuit leadership, pricing, and negotiation. Designs integrated advisory solutions spanning cybersecurity, privacy, compliance, internal audit, controls, and forensics. Partners with cross-functional leaders to build proposals, manage executive-level sales presentations, activate market presence, and secure multi-year programs. Requires 10+ years of advisory or consulting sales experience and travel up to 25%.

Leads business origination and revenue growth for Grant Thornton’s Business Process Outsourcing solution. Builds executive relationships, identifies and qualifies prospects, develops pipeline, leads pursuits, structures pricing, negotiates multi-year outsourcing programs, and coordinates cross-functional advisory experts. The role promotes outsourcing, shared services, technology modernization, automation, and AI solutions while maintaining CRM discipline and market visibility through events and thought leadership. Travel is approximately 25%, with hybrid in-person attendance required at least three days weekly.

Supports Communications and Engagement initiatives through event planning, external stakeholder engagement, media relations, social media strategy, storytelling, content development, brand visibility, and AI-enabled communications measurement. The intern will collaborate across teams, research media contacts, maintain databases, monitor engagement, suggest optimizations, and contribute to projects supporting the Federal Reserve Bank of St. Louis.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Design and implement AI-enabled integration solutions, cloud architectures, and enterprise technology platforms. Lead strategic planning, analyze business requirements, conduct feasibility studies, coach teams, manage stakeholders, and validate solutions with clients. Apply generative and agentic AI, IoT, sensor data, systems thinking, and enterprise architecture practices to solve complex business problems and drive innovation.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Lead complex, portfolio-aligned IT programs from discovery through closeout, coordinating multiple application development projects, budgets, risks, vendors, resources, stakeholders, and delivery methodologies. Provide executive reporting, oversee program governance, mentor project managers, support organizational change, and improve PMO standards. The role also requires using and promoting AI tools, including Claude, to enhance productivity and delivery quality. Work is remote or hybrid with onsite attendance in the St. Louis area as needed.

Lead complex pre-sales solution architecture engagements from discovery through proof of concept and delivery-ready scoping. Translate client needs into architectures, estimates, staffing plans, business cases, and SOWs. Own sales targets and pipelines, develop repeatable offerings and practice intellectual property, maintain partner relationships, mentor junior architects, and ensure delivery fidelity. Apply AI tools to accelerate pre-sales workflows while providing thought leadership across Salesforce, commerce, customer experience, and agentic AI solutions.

Develop and maintain enterprise AI/ML solutions using Generative AI, RAG, and agentic frameworks on AWS. Design infrastructure with Terraform, build CI/CD automation with GitLab, create Python and Bash tooling, develop React interfaces, and integrate APIs and databases. The role includes system reliability, troubleshooting, governance, security, compliance, architecture, project collaboration, technical mentorship, and occasional on-call support and travel.

Supports an internal generative AI platform through platform monitoring, user support, incident coordination, employee enablement, manual and automated QA, AI output evaluation, regression testing, defect documentation, usage reporting, and stakeholder communication. The role also helps develop evaluation sets, promote responsible AI practices, and improve platform quality across changing priorities.

Supports the health and adoption of generative AI platforms and custom applications. Responsibilities include user support, incident coordination, platform monitoring, employee enablement, manual and automated QA, AI output evaluation, regression testing, defect documentation, usage reporting, stakeholder communication, and promoting responsible AI practices. The role maintains Cypress or Playwright test suites within CI/CD pipelines and evaluates AI responses, tools, data usage, and grounding quality.

Leads end-to-end private AI sales pursuits, including deal qualification, shaping, proposal development, pricing, negotiations, governance, and delivery handoff. Develops value propositions and pursuit strategies while coordinating solution, AI, cloud, cybersecurity, pricing, legal, and delivery teams. Manages executive client interactions, competitive positioning, commercial risks, stage-gate approvals, and pursuit retrospectives to drive profitable deals and reusable practice assets.

Lead client AI engagements from discovery through production. Develop enterprise AI rollout plans, build GenAI proofs of concept, define architecture, oversee testing and security, and deliver cloud-based systems. Serve as the technical client lead, unblock and coach engineers, mentor OCI teams, and develop reusable delivery accelerators. The role requires production experience with AI applications, LLMs, retrieval, evaluation, agents, cloud, data engineering, and executive-level communication.

Designs end-to-end architectures for digital products and platforms, translating business requirements into scalable technical solutions. Responsibilities include creating architecture artifacts and process maps, defining API and enterprise integration strategies, evaluating technologies, supporting AI and analytics initiatives, and guiding implementation teams. The role partners with product and engineering stakeholders while addressing scalability, security, governance, reliability, and operational supportability.

Design and deploy enterprise AI agents and agentic workflows using cloud-native architectures. Integrate multiple AI providers, build scalable platforms, establish evaluation and observability practices, and tailor solutions to client domains. Lead client workshops, prototypes, code-with sessions, and technical advisory engagements while developing reusable engineering patterns and best practices.

Architects, operates, and improves cloud data and analytics platforms and BI infrastructure. Owns platform standards, CI/CD, reliability, monitoring, incident response, security, governance, performance, and technical documentation. Leads onboarding and enables engineering and client teams through reusable patterns and guardrails. Requires production platform ownership, cloud data and BI expertise, accounting experience, scripting, SQL, troubleshooting, and cloud fundamentals.

Designs, builds, and scales enterprise AI applications using classical machine learning, generative AI, RAG, and agentic architectures. Develops intelligent workflows, autonomous agents, knowledge systems, chatbots, copilots, and decision-support solutions integrated with enterprise platforms and APIs. Leads AI governance, evaluation, observability, security, and human-in-the-loop controls while advising clients on enterprise AI transformation. Requires extensive experience with Claude, OpenAI, LLMs, cloud platforms, vector databases, semantic search, and production-grade AI implementations.