Artificial Intelligence Jobs in St. Louis, MO

Leads financial statement audits and evaluates governance, risk management, regulatory compliance, and internal controls for digital asset and financial services clients. Directs complex audit engagements, applies advanced auditing and technical accounting expertise, identifies material misstatements, and issues auditor reports. The role also involves client relationship management, coaching and developing diverse teams, communicating findings, and maintaining professional, independence, and ethical standards.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Leads manufacturing operations consulting engagements focused on operating-model design, lean improvement, supply chain integration, cost reduction, quality, and digital transformation. Sets strategic direction, advises executive clients, develops manufacturing excellence roadmaps, guides complex operational transformations, drives business development, and mentors consulting teams.

Leads consulting engagements focused on product development and manufacturing transformation. Diagnoses lifecycle bottlenecks, improves cost, quality, speed to market, lean processes, supply chain integration, and digital operations. Manages client workstreams, teams, budgets, deliverables, and risks while coaching junior staff. Develops client recommendations involving product strategy, roadmaps, positioning, and go-to-market planning, and applies analytics, AI, and emerging technologies to improve operational performance.

Supports operations consulting engagements focused on product development and manufacturing excellence. Analyzes workflows, identifies bottlenecks, develops strategy and transformation deliverables, documents operating models, interprets operational data, and supports lean manufacturing and supply chain integration. Builds client relationships, coordinates workstreams, guides junior team members, and applies product lifecycle management, AI fluency, and process improvement methods to improve speed to market, cost performance, and product quality.

Leads contract lifecycle management technology projects and client engagements, guiding strategic planning, system configuration, integrations, and AI-enabled contract solutions. Manages teams, coaches staff, develops client recommendations, builds consensus, and drives process optimization and innovation. The role also includes account management, stakeholder communication, governance, and ensuring project quality and client outcomes.

Provides consulting services for contract lifecycle management technology implementations. Analyzes client needs, configures and integrates business applications, develops strategic recommendations, trains clients, and supports software adoption. Guides teams through contract management technology deployments, optimizes processes, applies AI and digital strategies, manages client relationships, and contributes to project delivery and modernization initiatives.

Performs imagery and geospatial intelligence analysis supporting NGA and machine learning training data. Creates, reviews, verifies, annotates, and categorizes imagery and multi-INT data; applies photointerpretation, targeting, precision mensuration, GIS, and order-of-battle expertise. Trains and mentors junior analysts while collaborating across teams. Uses imagery exploitation and GIS software, geodatabases, and potentially Python scripting to produce intelligence products and support AI platforms.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads global product strategy and lifecycle management from definition through end of life. Drives product innovation, market research, competitive analysis, commercialization, pricing, and go-to-market planning. Develops roadmaps, aligns cross-functional teams, identifies growth opportunities, and oversees multiple initiatives. The role also promotes AI and agile practices, advances technology, mentors team members, and cultivates collaborative, innovative product environments.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Leads IT audit engagements assessing digital environments, processes, controls, cybersecurity, data integrity, and AI systems. Manages client relationships, audit teams, project delivery, compliance challenges, data quality validation, governance improvements, and risk management. The role also involves mentoring staff, applying IT governance frameworks, promoting innovative audit technologies, and ensuring assurance standards are met.

Develop and deploy AI capabilities across enterprise ERP platforms including Workday and SAP Ariba. Build intelligent agents, chatbots, automation, integrations, and custom GenAI/LLM solutions. Establish PaaS environments, cloud services, deployment pipelines, security, governance, and engineering processes. Lead AI projects from concept through production, evaluate vendor versus custom solutions, support technology roadmaps, and promote AI literacy. Provide production support and training while aligning solutions with business needs and measurable ROI.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Develop and execute enterprise AI and data strategies for clients, including AI value cases, operating models, talent strategies, technology roadmaps, responsible AI plans, and commercialization opportunities. Build trusted C-suite relationships, lead transformation workstreams, shape new business opportunities, and guide large-scale AI-enabled reinvention initiatives. The role requires consulting experience, strong program management and communication skills, leadership capability, and up to 80% travel.

Leads a digital operations organization responsible for claims technology platforms, enterprise applications, digitization initiatives, portfolio governance, roadmaps, and transformational delivery. Oversees resources, budgets, vendors, compliance, business continuity, operational metrics, and geographically distributed teams. Partners with business, IT, compliance, audit, and executive stakeholders to improve delivery speed, quality, automation, operational efficiency, and member and provider experiences.

Leads technical solution architecture for NGA and intelligence-community programs. Translates mission needs into cloud, hybrid, DevSecOps, modernization, integration, transition, and sustainment architectures. Develops CONOPS, roadmaps, data flows, technical narratives, proposals, demonstrations, and executive briefings. Integrates GEOINT, AI/ML, and computer vision in classified environments while supporting cybersecurity, RMF, ATO, operations, incident response, and system lifecycle management.

Owns and prioritizes software product backlogs, translates customer and business needs into technical requirements, facilitates Agile planning and ceremonies, manages dependencies, defines acceptance criteria, supports testing and demos, and uses feedback, delivery metrics, and adoption KPIs to improve future releases.

Leads enterprise GEOINT systems integration, architecture, requirements, testing, transition, and readiness initiatives across NGA and mission partners. Develops transition roadmaps, architectures, requirements, CONOPS, analyses, and risk mitigations; coordinates IPTs and governance activities; supports GEOINT data standards modernization; and drives adoption of cloud, Agile, digital engineering, MBSE, automation, and AI. Provides technical leadership, customer advising, mentoring, and task oversight for complex multi-agency programs.