Pivotal Health - Senior Applied AI/ML Engineer, Claims Decisioning & Optimization
Requirements
• 5–8+ years of experience building software systems in production environments, with a strong track record of owning and delivering complex technical solutions. • Experience building and operating applied AI, machine learning, LLM, agentic, or decisioning systems in production. • Experience designing and interpreting experiments, evaluation frameworks, optimization loops, or performance measurement systems. • Strong software engineering background with Python and backend systems supporting production-scale AI applications. • Proven ability to translate complex operational requirements and real-world data into reliable, shipped products. • Experience working in domains where optimization, pricing, matching, decisioning, or marketplace dynamics are central to the business. • Product-oriented mindset with a demonstrated ability to navigate ambiguity, drive initiatives from concept through deployment, and deliver measurable business impact. • Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and operational teams. • Proven success building optimization systems for pricing, bidding, negotiation, allocation, or equitable decision-making. • Understanding of marketplace dynamics and optimization-driven businesses such as ad tech, lending, credit decisioning, or revenue management. • Familiarity with explainable AI techniques and systems where fairness, transparency, and defensibility are critical considerations. • Knowledge of reinforcement learning, causal inference, mathematical optimization, or advanced experimentation methodologies. • Experience developing AI-powered negotiation, recommendation, or decision-support systems at scale. • This position is not eligible for employer-sponsored work authorization. Applicants must be legally authorized to work in the United States on a permanent basis without the need for current or future visa sponsorship.*
Responsibilities
• Own and improve production AI systems. Design, deploy, and optimize AI/ML solutions that influence critical claims and negotiation workflows. • Own and improve production AI systems. • Build offer optimization models. Develop and improve models that generate optimal, fair, and explainable offers while balancing business objectives, customer outcomes, and operational constraints. • Build offer optimization models. • Develop AI-powered decisioning systems. Build and refine production workflows involving generation, retrieval, evaluation, orchestration, and automated decision-making. • Develop AI-powered decisioning systems. • Improve core product capabilities. Work on systems including position statement generation, offer engine enhancements, open negotiation agents, and configurable decisioning frameworks. • Improve core product capabilities. • Design evaluation and experimentation frameworks. Create robust testing methodologies and experiments that improve model quality, workflow performance, and business outcomes. • Design evaluation and experimentation frameworks. • Translate business problems into scalable systems. Partner with product, operations, and engineering teams to define success metrics and convert complex requirements into production-ready solutions. • Translate business problems into scalable systems. • Optimize model and workflow behavior. Improve prompts, retrieval strategies, model performance, and decisioning logic through continuous experimentation and feedback loops. • Optimize model and workflow behavior. • Drive engineering excellence. Contribute to architecture, observability, testing, rollout safety, and operational reliability across AI-powered systems. • Drive engineering excellence. • Accelerate AI adoption across the organization. Leverage AI tools and best practices to improve team productivity and establish scalable AI-native ways of working. • Accelerate AI adoption across the organization. • Balance speed with rigor. Deliver impactful systems quickly while maintaining high standards for reliability, fairness, and maintainability. • Balance speed with rigor.
Benefits
• $200K – $225K • Offers Equity • Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. • Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. • Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. • Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. • Pivotal Health is investing heavily in AI as a core strategic capability to transform healthcare operations. We are building intelligent systems that automate complex workflows, improve decision-making, and drive measurable business outcomes across the organization. • As a Senior Applied AI/ML Engineer focused on the Offer Engine, you will design, build, and improve production AI systems that generate optimal, fair, and defensible offers for insurance claims. Reporting to the Head of AI/ML Engineering, you will work at the intersection of machine learning, software engineering, product workflows, and business strategy to solve complex decision-making problems at scale. • This role is focused on applied AI engineering—not research in isolation. You will own systems end-to-end, from experimentation and model development to deployment, evaluation, and operational improvement. Your work will directly influence claim outcomes, negotiation workflows, and the quality of critical business decisions. • We are looking for product-oriented engineers who thrive in ambiguous environments, move quickly from idea to execution, and are excited to build AI systems that create measurable impact. Whether your background is rooted in machine learning engineering, optimization, decision science, marketplace dynamics, or experimentation-heavy environments, success in this role comes from a strong bias toward shipping and continuous improvement. • We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description. • If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you. • Competitive compensation, including equity • Full health, dental, and vision coverage • Retirement savings plan through 401(k) • Flexible time off • Opportunities for company-wide connection and events • Ready to Make an Impact?We’re building something meaningful; and we want you on the team. • Ready to Make an Impact? • Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together. • Employment Information • Work Authorization • Work Authorization • Candidates must be authorized to work in the United States without current or future employer sponsorship. • Equal Employment Opportunity
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