> Markdown version of [/jobs/ext/3095738-ai-engineer-platform-and-data](https://www.wearedevelopers.com/jobs/ext/3095738-ai-engineer-platform-and-data). 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 Engineer, Platform and Data - **Company:** Welltower Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $160,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Information Systems, Information Engineering, Data Governance, Data Integrity, Data Security, Web Services, Large Language Models, Backend, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** September 26, 2026 - **Apply:** https://www.dice.com/job-detail/04feb97b-c080-44fe-9db4-810bc9ea638b ## About the Role * Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field * 6+ years in backend, data, or ML infrastructure engineering, shipping production systems at scale * Strong data engineering depth: pipelines, transforms, and modeling messy real-world data into usable structure * Experience building and operating APIs and services that other engineers build on * Hands-on with LLM orchestration, agent frameworks, or model serving in production * Rigor around data security and access control, ideally with regulated or sensitive data * Based in the NYC metro area and able to work on-site ## Description * Design, develop, and maintain scalable data pipelines that ingest, clean, and structure data into a usable form * Build the model and agent orchestration layer, and the APIs that applications consume * Turn patterns hand-rolled in the field into reusable platform primitives so future work delivers more without proportional headcount * Establish data quality frameworks and automated testing to ensure data integrity and reliability * Own reliability, data integrity, and access control * Implement data governance practices and ensure compliance with regulatory requirements