> Markdown version of [/jobs/ext/3393496-ai-platform-architect](https://www.wearedevelopers.com/jobs/ext/3393496-ai-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Architect - **Company:** MRO Corporation - **Location:** United States - **Experience:** Experienced - **Salary:** $106,000.0 - $143,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Clinical Data Repository, Cloud Computing, Cyber Security, System Configuration, Continuous Integration, DevOps, Python (Programming Language), Local Security Policy, SQL Databases, Data Processing, GitHub Copilot, DevOps Tools - Open-source, Fast Healthcare Interoperability Resources, Large Language Models, AI Platforms, Kubernetes, Health Level Seven International, Terraform, Docker, User Administration - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=32dbacf1344b2aa7 ## About the Role * Demonstrated AI-native fluency: daily hands-on use of modern AI and agentic tools and experience configuring, deploying, or administering these tools for others - not just using them. * Demonstrated initiative and resourcefulness in AI (self-directed learning, side projects, internal experiments); often the recognized go-to person for AI tooling questions on their current team. * 3-5 years in technical roles spanning cloud, platform, DevOps, or AI operations, ideally within healthcare or another regulated industry. * Hands-on cloud experience across GCP, Azure, or AWS: provisioning and configuring resources, and working with containers/services (e.g., Docker, Kubernetes, or equivalent). * Scripting and automation proficiency (Python or similar), plus strong data analysis, reporting, and dashboard-creation skills. * Experience administering enterprise SaaS platforms (user management, SSO configuration, usage analytics, cost tracking). * Working knowledge of HIPAA Privacy/Security Rules, SOC 2 Type II, or HITRUST frameworks, and how they apply to AI tooling. * Strong technical writing skills for documentation, governance, and security artifacts. Preferred Qualifications: * Hands-on DevOps tooling experience: CI/CD and Infrastructure-as-Code (e.g., Terraform). * Experience with cloud cost management and FinOps practices. * Experience with AI/ML-specific security considerations (model governance, prompt-injection risks, MCP/connector security, data handling). * Experience with enterprise AI platforms (Vertex AI, Azure AI Foundry, Bedrock). * Familiarity with BI/analytics pipelines (BigQuery, SQL, Python). * Background in healthcare data exchange (FHIR, HL7, clinical data workflows). ## Description * Administer and configure AI tools and platforms (Claude, MS Copilot, GitHub Copilot, LLM API operations, and others): provisioning, feature configuration, usage monitoring, and optimization, in partnership with IT admin/infrastructure and ServiceDesk. * Own the platform layer for AI context at scale: the registry, access control, and infrastructure on which prompt libraries, skills, repeatable workflows, MCP servers, and connectors live. * Build and ship lightweight internal tooling and automation in service of the platform: deployment scripts, self-service provisioning, usage and cost dashboards, and monitoring. * Own AI transformation analytics and reporting in partnership with IT and Engineering: build and maintain dashboards tracking adoption, usage, cost-per-tool, and ROI across internal and product-embedded AI initiatives. * Monitor AI tool health, track token and compute costs, flag anomalies, and support cloud operations for AI workloads; partner with Engineering and IT on LLM API operations and cloud resource deployment. * Configure and review security settings for MCP servers, connectors, and AI tools to enable fast, safe rollouts; partner with InfoSec on AI tool security approval and monitoring across developer and non-developer populations. * Maintain AI governance and security-acceleration assets for the AI domain: AI FAQs and the security questionnaire library; respond to enterprise AI security reviews; contribute AI-specific content to RFP responses, compliance questionnaires, and contracting support for the commercial org as needed. * Support AI vendor due diligence and third-party risk assessments; develop and maintain AI governance documentation (risk framework, AI workflow catalog, and PHI handling protocols). ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)