• Lead the AI Engineering & Automation capability within the Digital organization • Identify opportunities to embed AI into underwriting, submission processing, operations, and internal systems • Drive adoption of AI-assisted development practices across engineering teams • Develop AI copilots, automation tools, and internal knowledge assistants • Partner with Digital, Data Science, Actuarial, and business stakeholders • Establish architecture and best practices for integrating AI into enterprise systems • Lead rapid experimentation and prototyping of emerging AI capabilities • Mentor AI engineers and promote AI adoption across the broader technology organization • Ensure AI solutions align with security, governance, and compliance standards

Role Description We are seeking a Senior AI Engineer to join our Core AI Agentic Development Team. The primary objective of this role is to design, develop, and deploy robust, multi-agent systems that assist healthcare providers in optimizing their revenue lifecycle and managing accounts receivable (AR). As a senior contributor, you will architect complex agent orchestration workflows, ensuring our agents can securely and effectively interact with existing enterprise systems to drive operational efficiency. - Design and implement multi-agent AI systems using frameworks such as LangChain, AutoGen, or CrewAI to automate complex healthcare revenue cycle workflows. - Develop and maintain agent orchestration pipelines where agents collaborate, delegate tasks, and synthesize outputs to drive end-to-end process automation. - Integrate AI agents with enterprise systems via APIs and RPA-style interfaces (UI/DOM/vision-based interactions) to execute real-world operational tasks. - Build and enforce guardrails, validation layers, and compliance checks to ensure safe, deterministic, and auditable behavior of LLM-driven systems. - Architect and deploy supervisor (“oracle”) agents to route tasks, validate sub-agent outputs, and maintain system-wide state and accuracy. - Implement logging, tracing, and monitoring frameworks to track agent performance, debug multi-agent interactions, and ensure production reliability. - Collaborate cross-functionally with product, engineering, and domain experts to translate healthcare revenue cycle requirements into scalable AI-driven solutions. Qualifications - Advanced proficiency in Python, our primary development language. - Strong background in software engineering best practices. - Proven track record of developing and deploying autonomous AI agents and Large Language Model (LLM) applications in production environments. - Deep, hands-on experience with agent orchestration frameworks such as Crew.ai, LangChain, or AutoGen. Requirements - Designing complex, multi-step agentic workflows where agents collaborate, delegate, and synthesize information to complete high-value tasks. - Building agents capable of driving existing software systems, including API integration and experience with computer use (e.g., RPA-like UI interaction via vision/DOM parsing) and voice AI agents for outbound/inbound communication. - Developing and implementing strict guardrails to ensure deterministic, safe, and compliant behavior from non-deterministic LLMs. - Designing and deploying "oracle" or supervisor agents responsible for routing tasks, verifying the outputs of sub-agents, and maintaining overall system state and truth. - Implementing logging, tracing, and monitoring specific to agentic behavior to ensure accountability and debug complex multi-agent interactions in production. Benefits - Paid training and incentive plans. - Medical, dental, vision, and life insurance benefits available from the first day of employment. - Excellent work/life balance. - Employee Resource Groups build community and foster a culture of belonging and inclusion. - 401(k) contributions matched. - Career growth opportunities. - 12 paid holidays and generous paid time off.

• As an AI software engineer, you will work in empowered, multidisciplinary teams, autonomously tackling complex challenges that provide the very best experiences and products for a growing community. • Help build proof of concepts using new and innovative technologies to provide cutting-edge customer experiences and drive internal innovations. • Write secure, stable, testable, maintainable code with minimal defects. • Participate in team design, scoping, and prioritization discussions. • Seek to learn the business context and technologies behind your team's software. • Collaborate with team members & identify any opportunities/problems arising from technical decisions. • Invent, refine, and develop solutions to ensure they meet customer needs and team goals.

• Diseñar la arquitectura técnica de sistemas de agentes de IA (componentes, flujos, dependencias). • Definir protocolos de interacción entre agentes (mensajería, turn-taking, roles). • Implementar agentes con tool calling, planificación de tareas y ejecución segura. • Diseñar y mantener estrategias de memoria, contexto y recuperación de conocimiento (RAG, embeddings). • Colaborar con AI Platform en: Versionado de prompts, Evaluaciones automáticas, Monitoreo de calidad y costos. • Definir criterios de escalamiento a humano y mecanismos de fallback. • Analizar fallos en producción (hallucinations, loops, degradación de performance). • Iterar agentes basándose en métricas reales de negocio y operación.