Lead AI Engineer

Job Summary Our client is seeking a Lead AI Engineer to drive the development and evolution of enterprise AI capabilities. This highly visible role blends technical leadership and hands-on expertise to deliver scalable, production-grade AI solutions, including agentic AI, RAG, and intelligent automation technologies that create business value and accelerate digital transformation. Key DetailsWork Arrangement: Hybrid, three days per week onsite, Monday or Friday mandatoryStrong potential for conversion based on performance and business needCore ResponsibilitiesDesign, build, deploy, and support enterprise-scale AI solutions in production environmentsDevelop agentic workflows, orchestration pipelines, tool integrations, and autonomous AI capabilitiesBuild and evolve RAG and agent-based architectures that deliver measurable business valueCreate and maintain evaluation frameworks to improve AI quality, groundedness, reliability, and performanceImplement AI observability, tracing, monitoring, and operational best practicesDevelop automated testing, validation, and regression processes for AI systemsIntegrate AI solutions with enterprise applications, APIs, and data platformsDesign reusable frameworks, patterns, and components to increase scalability and engineering efficiencyEstablish and promote engineering best practices through code reviews and technical mentorshipResearch, evaluate, and adopt emerging AI technologies where appropriatePartner with business stakeholders, architects, and engineers to translate business requirements into innovative AI solutionsProvide technical leadership and guidance on AI platform strategy and architecture decisions Required Skills/Experience (Must-Haves)Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience5+ years of software engineering experienceProven track record delivering enterprise-grade software solutions in production environmentsExperience building and delivering production-grade agentic AI systemsStrong Python development experience combined with AI platform engineering expertiseExperience designing, deploying, operating, monitoring, and evaluating production AI systemsHands-on experience implementing agentic AI workflows and autonomous systemsExperience designing and implementing Retrieval-Augmented Generation (RAG) solutionsExperience with DatabricksExperience with LangGraph or similar agent orchestration frameworksExperience building AI workflows utilizing tools, APIs, and external systemsExperience implementing AI evaluation frameworks and quality measurement methodologiesExperience with AI observability, tracing, and monitoring solutionsStrong understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniquesExperience with AWS in production environmentsExperience designing and consuming RESTful APIsExperience utilizing Git, CI/CD pipelines, and modern software engineering practicesKnowledge of secure coding principles and responsible AI practicesExperience working within Agile development environmentsPreferred Skills/Experience (Nice-to-Haves)Experience with AgentBricksExperience with Microsoft Copilot extensibility and agent developmentExperience with LangChain and related AI frameworksExperience with Model Context Protocol (MCP) integrationsExperience with vector databases and semantic search technologiesExperience with AWS BedrockExperience with OpenTelemetry, LangSmith, Grafana, MLflow, DeepEval, or similar toolingExperience deploying and managing multi-agent systemsExperience with TerraformAWS, Databricks, Microsoft, or AI-related certificationsDemonstrated experience mentoring teammates and contributing to collaborative engineering environmentsKey Competencies & BehaviorsBusiness Outcome FocusedScalable Innovation BalanceOwnership & AccountabilityHolistic Systems ThinkingCross-Functional CollaborationTeam-Oriented MentorWork EnvironmentEmployment Type: Contract-to-HireLocation: St. Louis, MOWork Arrangement: HybridOnsite Requirement: Three days per week in officeScheduling Requirement: One of the onsite days must be either Monday or FridayInterview Process: Initial virtual interview followed by an onsite interviewConversion Goal: The organization intends to convert the right candidate based on performance, culture fit, and business needsCompensation & BenefitsPay Range: The approximate pay range for this position is between $63.00 and $90.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.Medical, Dental, & Vision Insurance PlansEmployee-Owned Profit Sharing (ESOP)401K offeredAbout KellyMitchell At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. 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