Job description

WELLTOWER – REIMAGINE REAL ESTATE WITH US At Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday. We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team. SUMMARY The AI Engineer, Platform and Data will build and scale the core infrastructure supporting Welltower’s AI capabilities, including data pipelines, model and agent orchestration, and APIs. This role will focus on creating reliable, reusable solutions that enable teams to move quickly while maintaining strong standards for data quality, security, and performance. The ideal candidate is a hands-on engineer who is comfortable building from the ground up and partnering across teams to bring AI solutions into production. KEY RESPONSIBILITIES • Design, develop, and maintain scalable data pipelines that ingest, transform, normalize, and structure complex data for downstream applications, analytics, and AI solutions. • Build and support the model and agent orchestration layer, including the services, APIs, tools, and integration patterns required to bring AI capabilities into production workflows. • Develop reusable platform components and shared services that allow engineering and product teams to build new AI-enabled applications efficiently and consistently. • Identify repeatable patterns across use cases and convert them into scalable platform frameworks and standards that can be leveraged across the organization. • Establish data quality frameworks, automated testing, and monitoring to ensure the accuracy and reliability of data used by AI systems. • Build observability and operational controls for AI and data services, including monitoring, logging, performance measurement, error handling, and issue resolution. • Own the reliability, performance, and maintainability of production AI, data, and platform services, proactively identifying opportunities to improve resilience and scalability. • Implement appropriate data governance, security, access controls, and privacy practices to support the responsible use of sensitive and regulated information. • Evaluate new AI infrastructure, model-serving, orchestration, and data technologies and determine where they can meaningfully improve Welltower's platform capabilities. • Contribute to technical architecture and engineering best practices while remaining hands-on in the design, development, testing, deployment, and support of production systems. OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice. TRAVEL Occasional out-of-area and overnight travel may be required. MINIMUM REQUIREMENTS • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field; equivalent practical experience may be considered. • 6+ years of experience in backend, data, machine learning infrastructure, platform engineering, or a related engineering discipline, including experience delivering and supporting production systems at scale. • Strong data engineering experience, including pipelines, transformations, data models, and structuring complex or unstructured real-world data for production use. • Experience designing, building, and operating APIs, backend services, or shared platform capabilities used by other engineers, applications, or products. • Hands-on experience with LLM orchestration, agent frameworks, model serving, retrieval-based systems, or similar AI infrastructure in a production environment. • Strong understanding of software engineering fundamentals, testing, monitoring, version control, and production deployment practices. • Experience working with data security, access control, governance, and privacy requirements; experience with regulated or sensitive data is preferred. • Strong problem-solving skills, sound technical judgment, and an ownership mindset with the ability to operate effectively in a fast-paced, evolving environment. • Must be based in the New York City metropolitan area and able to work onsite. Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. COMPENSATION Salaries may vary by location. The base salary range for this role in New York is $160,000 to $220,000. In addition to base pay, this role is eligible for a total rewards package that includes an annual bonus opportunity, equity awards through our long-term incentive program, and a comprehensive benefits suite. ABOUT WELLTOWER Welltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 2,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – our North Star. Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet

Requirements

Must-haves

The AI Engineer, Platform and Data will build and scale the core infrastructure supporting Welltower’s AI capabilities, including data pipelines, model and agent orchestration, and APIs.
Design, develop, and maintain scalable data pipelines that ingest, transform, normalize, and structure complex data for downstream applications, analytics, and AI solutions.
Build and support the model and agent orchestration layer, including the services, APIs, tools, and integration patterns required to bring AI capabilities into production workflows.
Develop reusable platform components and shared services that allow engineering and product teams to build new AI-enabled applications efficiently and consistently.
Identify repeatable patterns across use cases and convert them into scalable platform frameworks and standards that can be leveraged across the organization.
Establish data quality frameworks, automated testing, and monitoring to ensure the accuracy and reliability of data used by AI systems.
Build observability and operational controls for AI and data services, including monitoring, logging, performance measurement, error handling, and issue resolution.
Own the reliability, performance, and maintainability of production AI, data, and platform services, proactively identifying opportunities to improve resilience and scalability.
Implement appropriate data governance, security, access controls, and privacy practices to support the responsible use of sensitive and regulated information.
Evaluate new AI infrastructure, model-serving, orchestration, and data technologies and determine where they can meaningfully improve Welltower's platform capabilities.
Contribute to technical architecture and engineering best practices while remaining hands-on in the design, development, testing, deployment, and support of production systems.
Occasional out-of-area and overnight travel may be required.
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field; equivalent practical experience may be considered.
6+ years of experience in backend, data, machine learning infrastructure, platform engineering, or a related engineering discipline, including experience delivering and supporting production systems at scale.
Strong data engineering experience, including pipelines, transformations, data models, and structuring complex or unstructured real-world data for production use.
Experience designing, building, and operating APIs, backend services, or shared platform capabilities used by other engineers, applications, or products.
Hands-on experience with LLM orchestration, agent frameworks, model serving, retrieval-based systems, or similar AI infrastructure in a production environment.
Strong understanding of software engineering fundamentals, testing, monitoring, version control, and production deployment practices.
Strong problem-solving skills, sound technical judgment, and an ownership mindset with the ability to operate effectively in a fast-paced, evolving environment.
Must be based in the New York City metropolitan area and able to work onsite.
Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position.

Nice-to-haves

Experience working with data security, access control, governance, and privacy requirements; experience with regulated or sensitive data is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningllm

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Wellness