AI Platform Enablement Engineer III

CareSource; United States; Remote; USD 94,000 - 165,000; Full time

Job summary

CareSource is seeking an AI Platform Enablement Engineer III to drive end-to-end enablement and governance for enterprise AI platforms such as Anthropic Claude and Azure AI services. The role focuses on controlled rollout, adoption metrics, and cost governance while working with Architecture, Security, and Finance teams.

The ideal candidate will have 5+ years in IT engineering with DevOps/MLOps experience and strong knowledge of Kubernetes, AKS, and CI/CD pipelines for ML applications.

Qualifications

• Bachelor's degree in CS, software engineering, or related field.
• 5 years IT engineering, with 3+ years in DevOps, MLOps or cloud infra.
• Experience with Azure AI Services and container orchestration required.
• Proven ability to build and maintain ML/software CI/CD pipelines.

Responsibilities

• Own evaluation, rollout, and governance of enterprise AI platforms.
• Define adoption strategies, guardrails, and usage patterns.
• Analyze cost drivers and optimize platform usage and spend.
• Coordinate with Security, Legal, and AI Governance stakeholders.

Skills

DevOps

MLOps

Cloud Infrastructure

AI platforms

Education

Bachelor's degree in CS/Software Engineering

Tools

Kubernetes/AKS

CI/CD pipelines

Azure AI Services

Azure OpenAI

Job description

Job Summary:The AI Platform Enablement Engineer III is responsible for the operational success of enterprise AI platforms by owning the end-to-end enablement, adoption, cost management, and governance execution of AI platforms, including but not limited to Anthropic (Claude), Microsoft Copilot Studio, and Microsoft 365 Copilot. This role operates independently on complex and ambiguous problems, setting direction within its domain and ensuring that rapidly evolving AI platform capabilities are introduced in a controlled, value-driven, and governed manner. They do not own infrastructure or SRE operations but are accountable for platform enablement, configuration, and operational governance of usage.Essential Functions:Own evaluation, prioritization, and controlled rollout of new capabilities, including pilot, scale, and deferment strategies, across AI platforms.Define rollout strategies, including pilot cohorts and broad enablement approaches.Establish and manage role-based access, usage tiers, entitlement models and related platform configurations.Develop, maintain, and enforce approved usage patterns, platform guardrails and usage boundaries.Coordinate rollout execution across access provisioning, communications, and enablement activities.Define and track platform adoption metrics (e.g., active users, usage segmentation, engagement trends), identify and resolve adoption blockers, configuration gaps, and usability friction.Identify high-value and low-value usage patterns across user cohorts.Drive targeted adoption strategies to expand effective usage and reduce misaligned or low-value usage.Partner with engineering and business stakeholders to capture measurable outcomes such as efficiency gains and delivery acceleration.Own visibility into platform consumption, spend, and usage trends.Analyze cost drivers across models, tools, and usage patterns.Optimize platform usage through standardized patterns and model selection guidance.Partner with Finance and IT leadership to support budgeting and forecasting.Operationalize enterprise AI governance at the platform usage level.Ensure compliance with data protection requirements, including PHI and PII constraints.Establish and maintain auditability and monitoring practices.Coordinate with Security, Risk, Legal, and AI Governance stakeholders to ensure alignment and compliance.Maintain feature enablement settings and reporting configurations.Develop and sustain operational playbooks for platform rollout and usage.Act as the primary point of engagement for platform evolution and vendor interaction, providing structured feedback to vendors to influence roadmap alignment.Maintain awareness of platform capabilities, roadmap changes, and enterprise impact.Partner with architecture and engineering stakeholders to ensure platform usage aligns with enterprise patterns and standards.Provide feedback into evolving design standards based on real-world platform capabilities and constraints.Perform any other job related duties as requested.Education and Experience:Bachelor's degree in Computer Science, Software Engineering, or related technical field requiredEquivalent years of relevant work experience may be accepted in lieu of required educationFive (5) years of IT engineering experience, with at least three (3) years specialized in DevOps, MLOps, or Cloud Infrastructure requiredExperience with Azure AI Services (Azure OpenAI, AI Search, Azure ML) and container orchestration (Kubernetes/AKS) requiredExperience building and maintaining CI/CD pipelines for machine learning models or complex software applications requiredCompetencies, Knowledge and Skills:Familiarity with working with enterprise AI or advanced technology platformsStrong understanding of AI/LLM capabilities and platform-based delivery modelsAbility to manage adoption, enablement, or rollout of enterprise technology platformsFamiliarity with consumption-based cost models and optimization strategiesAbility to operate independently and lead initiatives in complex and ambiguous environmentsKnowledgeable in AI platforms such as Anthropic (Claude), Microsoft Copilot Studio, or Microsoft 365 CopilotFamiliarity with AI governance, responsible AI practices, and regulatory considerationsAbility to work within enterprise architecture or platform enablement functionsExposure to usage analytics, reporting, and cost optimization frameworksLicensure and Certification:Microsoft Certified: Azure AI Engineer Associate or Azure DevOps Engineer Expert preferredCKA (Certified Kubernetes Administrator) preferredWorking Conditions:General office environment; may be required to sit or stand for extended periods of timeTravel is not typically requiredCompensation Range:$94,100.00 - $164,800.00CareSource 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 Type (hourly/salary):SalaryOrganization Level CompetenciesFostering a Collaborative Workplace CultureCultivate PartnershipsDevelop Self and OthersDrive ExecutionInfluence OthersPursue Personal ExcellenceUnderstand 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.#LI-GM1Brand=CareSource