Provides enterprise leadership for system-wide patient access, placement, throughput, and load balancing across Texas Health Resources. Acts as the strategic and operational authority for the Capacity Command Center.
Responsibilities
Provide strategic oversight for infrastructure, processes, protocols and governance of the THR Capacity Command Center (24/7 operations).
Leads enterprise bed management strategy for admissions, discharges, transfers, ICU leveling, and specialty placement.
Establishes system load balancing methodologies across facilities.
Serves as enterprise escalation authority during surge, disaster, or operational disruption.
Activates tiered escalation protocols (Green/Yellow/Red/Black status). Partners with Incident Command when activated.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Locations (4)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
San Jose, California, United States
Compensation
Cambridge, MA: $197,300 - $225,100 for AI Engineer 4
McLean, VA: $197,300 - $225,100 for AI Engineer 4
New York, NY: $215,200 - $245,600 for AI Engineer 4
San Jose, CA: $215,200 - $245,600 for AI Engineer 4
Responsibilities
Partner with cross‑functional teams to deliver AI‑powered products
Design, develop, test, deploy, and support AI software components
Leverage Open Source and SaaS AI technologies
Invent and introduce state‑of‑the‑art foundation model optimization techniques
Contribute to the technical vision and long‑term roadmap
Requirements
Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Nice to have: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
Nice to have: 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms
Nice to have: Experience designing, developing, delivering, and supporting AI services
