Medical Director

AI Native EngineerAn AI Native Engineer with strong experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments. You thrive in ambiguity and deliver concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.The WorkYou will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.ResponsibilitiesDesign and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration.Leverage containerization, microservices, serverless, and event-driven architectures to deliver scalable AI-native systems.Tailor and deploy agentic applications across industries such as finance, healthcare, and retail.Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders.Define and use metrics to measure agent accuracy, latency, safety, and cost effectiveness.Leverage enterprise agentic tools such as GitHub Copilot, Claude Code, and OpenAI Codex to automate phases of the software development lifecycle (SDLC).This is a hybrid role in Columbus, OH, Dallas, TX, Atlanta, GA, or Tampa, FL and will require 3 days per week in the office.Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.Here's What You Need:Minimum of 10 years of experience building cloud-native systems including APIs, microservices, and serverless architectures.Minimum 1 year of experience designing and deploying agentic AI solutions in production environments.Minimum of 1 year of experience with agentic orchestration tools such as LangGraph, CrewAI, AutoGen, or similar frameworks.Experience working with AI platforms including OpenAI, Claude, Vertex AI, and open-source models.Minimum of 10 years Python, Java, or equivalent programming experience.Experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling.Bachelor's degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)