Forward Deployed AI Engineers (FDEs) - R01563547

Role Brief: We are looking for Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to redefine business processes using AI and agentic workflows. This role goes beyond traditional engineering. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient. You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows.Key ResponsibilitiesReimagine and redesign healthcare processes using AI-first principlesIdentify opportunities to replace or augment manual workflows with AI agentsPartner with business stakeholders to translate problems into working AI solutionsDesign, build, and deploy AI agents for enterprise workflowsImplement multi-agent systems using LLMs (prompting, memory, tool usage)Rapidly prototype and productionize solutions using platforms such as OpenAI, Anthropic, Google (Gemini)Embed with client teams (business + IT) to whiteboard solutionsBuild prototypes in days/weeksDeploy and iterate rapidlyOperate as a trusted advisor & builder, not just a developerLeverage AI across the full software lifecycle: code generation and refactoring, automated testing and validation, documentation and observabilityDrive productivity improvements across engineering teamsTrain business and ops teams to use AI tools and agents effectively, build and iterate workflows independently, develop reusable playbooks and frameworksTransform core healthcare processes such as claims processing & adjudication, automate intake, validation, and exception handlingPrior authorization – AI-driven clinical review, decision support, and workflow orchestrationMember & provider contact center – intelligent agents for call routing, resolution, and digital containmentProvider data management – data intake, validation, and directory accuracyCare management & utilization review – AI-assisted case management and risk identificationRevenue cycle & payment integrity – fraud, waste, and abuse detection using AIRequired Skills & Experience6–12+ years of experience in software engineering, AI, or related fieldsStrong software engineering background (Python, APIs, microservices)Experience with LLMs, prompt engineering, and AI frameworksFamiliarity with agent frameworks (LangChain, Semantic Kernel, etc.)Cloud experience with Amazon Web Services, Microsoft (Azure)Experience building AI/ML or LLM-powered applicationsUnderstanding of structured & unstructured data pipelinesKnowledge of model evaluation, monitoring, and governanceAbility to work directly with business stakeholdersStrong problem-solving and communication skillsExperience in rapid prototyping and iterative deliveryExperience in U.S. healthcare payer or PBM environmentsUnderstanding of claims, prior auth, or care management workflowsFamiliarity with regulatory and compliance considerations (HIPAA, etc.)Prior experience in client-facing or consulting roles preferredWhat Makes This Role UniqueWork at the forefront of AI-driven enterprise transformationBuild real-world AI agents that replace traditional workflowsOperate in a forward-deployed model with direct business impactOpportunity to scale from small pods to enterprise-wide transformation programsSuccess MetricsNumber of business workflows transformed using AIReduction in manual effort / cost-to-serveAdoption of AI tools by business teamsSpeed of prototyping to production deploymentNice to HaveExperience with healthcare platforms (claims, CRM, contact center)Exposure to tools like Salesforce, ServiceNow, or Epic integrationsPrior experience with companies like Palantir Technologies or similar forward-deployed modelsJ-18808-Ljbffr