REMOTE - AI Engineer III – AI Enablement - R12173
The AI Engineer III – AI Enablement Technical Lead is a senior individual contributor and the primary hands-on technical leader within AITE. This role is accountable for the technical direction, solution design quality, and implementation integrity of AI-enabled solutions and AITE-owned automation capabilities.Consistent with CareSource’s AI Engineer III career level, this role operates independently on complex, ambiguous problems; sets technical direction within its domain; and leads design and delivery without day-to-day oversight.This role does not own or operate core AI platforms or runtime infrastructure. You will partner closely with AI Platform, Infrastructure, and SRE teams by providing solution requirements, architectural input, and design feedback while maintaining a clear separation between solution design (AITE) and platform delivery and operations.Technical leadership and solution architectureLead solution-level architecture for AI initiatives, including data, models, orchestration, security, integration, and observabilityDefine and maintain reference architectures, design patterns, and technical standards for AI-enabled solutionsTranslate business problems into actionable designs and clearly communicate tradeoffs, risks, and constraintsProvide technical decision support and recommendations to AI and IT leadershipHands-on engineering and validationBuild proofs of concept and pilots, and implement critical solution components to de-risk deliveryDevelop and validate RAG pipelines, agent-based architectures, and orchestration workflowsContribute production-quality code and configurations when hands-on intervention is needed to unblock deliveryEvaluate emerging AI capabilities, tools, and services through targeted experimentationEnablement, guidance, and oversightProvide technical guidance to delivery teams, architects, and engineers implementing AI solutionsConduct architecture and design reviews to ensure alignment with enterprise architecture, security, and governance standardsMentor engineers and architects on AI design patterns, implementation practices, and operational considerationsReview vendor-proposed designs and implementations for alignment with CareSource standardsAITE automation and enablement capabilitiesDesign, develop, and implement internal automations that support AITE intake, governance workflows, reporting, and operational visibilityTranslate documented process specifications into durable, reusable automation capabilitiesOwn the technical design and evolution of AITE’s internal enablement tooling as the team expandsArchitect automation solutions to scale with increased AI demand, additional governance requirements, and broader AITE scopeGovernance and Responsible AI by designEmbed governance and Responsible AI requirements into solution architectures from inceptionPartner with Security, Risk, Legal, and AI Governance stakeholders to ensure compliant implementationsDefine solution-level controls for data protection, auditability, and appropriate human oversightPlatform partnership (non-operational)Provide solution-driven requirements and architectural feedback to AI Platform and Infrastructure teamsCollaborate on standards for LLMOps, observability, reliability, and cost management without owning platform operationsEducation And ExperienceBachelor’s degree in Computer Science, Engineering, or a related technical field required; equivalent experience accepted in lieu of degree7+ years of hands-on software or systems engineering experience3+ years designing and implementing AI-enabled or advanced analytics solutions in an enterprise environmentDemonstrated experience acting as a senior technical lead across multiple teams and stakeholdersTechnical Skills And ExpertiseAI solution architecture: strong grasp of modern AI patterns including RAG, agentic workflows, orchestration layers, and evaluation approachesHands-on engineering: strong Python skills and modern software engineering practices (testing, version control, CI/CD as applicable)Azure AI ecosystem: experience designing solutions using Azure AI Services (Azure OpenAI, AI Search, Azure Machine Learning, Azure AI Foundry)Integration and APIs: ability to design secure, scalable system integrationsSecurity-aware design: working knowledge of identity, network isolation, private endpoints, and enterprise security constraintsEvaluation and observability: ability to define success metrics and interpret performance, cost, latency, and reliability signalsAutomation engineering (AITE-owned): experience designing workflow automation and operational tooling (for example, Power Platform, SharePoint, and service workflow integrations)Leadership and communicationAbility to explain technical concepts and tradeoffs to technical and non-technical audiencesStrong written documentation skills for architectures, standards, and technical guidanceComfort influencing across organizational boundaries without direct authorityCertifications (Preferred)Microsoft Certified: Azure AI Engineer Associate or equivalentAzure Solutions Architect Expert (preferred)Working ConditionsGeneral office environment; hybrid-eligibleOccasional extended periods of sitting or standingTravel not typically requiredCompensation Range$94,100.00 - $164,800.00 CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.Compensation TypeSalaryCompetencies Fostering a Collaborative Workplace Culture - Cultivate Partnerships - Develop Self and Others - Drive Execution - Influence Others - Pursue Personal Excellence - Understand the BusinessThis job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.