AI Platform Lead

Lead the build: Architect Saber's AI platform from the ground up and build the engineering team that brings it to life.

We’ve been recognized by Newsweek and Plant-A Insights Group as one of America’s Most Admired Workplaces for 2026! As an employee recently said, “I feel I have a lot of support. I feel like part of the team.”

 
Position Summary: 

The Platform Lead has technical responsibility for the Company's AI, internal applications, and automations, built as an agentic harness over a governed data foundation. The role is responsible for their architecture, security, and infrastructure, makes key architecture decisions, leads AI governance, and sets the engineering standards the team works to. The role demands breadth across distributed systems, cloud data architecture, agentic AI, security, and application engineering, with deep expertise in several of these areas. The primary duties of this position involve the performance of work requiring advanced knowledge in a field of science/learning, which require the consistent exercise of discretion and judgment.

Education/Qualifications: 

• Must have a bachelor's degree or higher in Computer Science, Software Engineering, or a closely related field of science/learning, or advanced knowledge of same through ten (10) or more years of demonstrated equivalent engineering experience in lieu of a degree.

• Must have a valid driver's license and the ability to travel.

Experience:

• Ten (10) or more years of professional software and data engineering experience, including three (3) or more years operating at a staff, principal, or lead level with formal responsibility for architecture and for leading engineering teams.

• Demonstrated record of being responsible for one (1) or more production systems end to end, from architecture through deployment, operation, and ongoing evolution, at meaningful scale.

• Hands-on experience architecting and operating a cloud data platform (e.g., Microsoft Fabric, Snowflake, Databricks) in production, including responsibility for cost and performance. Experience with more than one (1) such platform, or formal experience evaluating and selecting between platforms, is strongly preferred, as this role leads the platform-selection decision.

• Production experience building applications backed by large language models (e.g., Claude, GPT), including retrieval, tool use, and evaluation.

• Experience designing systems that handle sensitive or regulated data, with direct responsibility for the security and access-control model. Healthcare (HIPAA) experience is strongly preferred.

• Experience managing and mentoring engineers, including hiring, performance management, and building a high-performing team.

Shift & Wage:

• Full-Time Opportunity Available

• Shifts Needed: Varies

Advantages: 

• Make a Difference – Be part of a team that strengthens AI processes to ensure and support quality resident care.

• Comprehensive Benefits – Health, dental, vision, and retirement plans.

• Generous PTO – Work-life balance with paid time off and holidays.

• Team-Oriented Culture – Work with dedicated professionals who value excellence.

• Stability – Join an organization with a proven track record in skilled nursing care.

Benefits and Perks*:

• Benefit eligibility the first of the month following 30 days

• Comprehensive benefit packages including medical, dental, and vision, and more. Health Savings Account available with employer contribution.

• 401K through Fidelity

• Employer-paid life insurance (FT employees)

• Robust Employee Assistance Program

• Generous Paid Time Off (PTO)

• Educational, leadership, and tuition opportunities

• Various discount programs offered, including discounted childcare programs through Kindercare

• Wellness programs offered through WebMD

• Employee recognition programs

• Culture of employees creating an IMPACT!

*Program details can vary amongst buildings. Please see HR for the facility-specific benefit plans.

We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their actual or perceived gender, race, color, national origin, religion, disability, age, military or veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.