The Senior FDE Lead will be the embedded client-facing technical builder who converts Model Office and design decisions rapidly into working configurations, AI workflows, prototypes and demonstrations. This person needs the unusual combination of software/AI engineering ability, solution architecture, rapid prototyping and client presence. The FDE Lead should be comfortable sitting in a client design session, understanding a requirement, translating it into a technical approach, building or configuring it rapidly, testing it with users, learning from the results and iterating in near-real time. This is emphatically not a traditional project manager or solution architect who hands requirements to an offshore development team. The person must be able to build. Key Responsibilities • Embed directly with Centene functional, clinical and technology teams. • Translate Model Office decisions into working sandbox configurations and prototypes. • Develop and configure AI-enabled workflows and agents. • Write code where required to integrate, prototype or extend platform capabilities. • Rapidly prototype solutions during design cycles. • Test AI outputs and workflow behavior against expected outcomes. • Build evaluation approaches and use results to improve prompts, models, agents and workflow logic. • Work with business/clinical users to gather feedback and iterate rapidly. • Troubleshoot issues across configuration, APIs, data, AI behavior and workflow orchestration. • Maintain and prioritize the configuration/FDE backlog. • Lead other FDEs and potentially coach Nexus Fellows. • Partner with core Product and Engineering teams when prototype/configuration work needs to become hardened product functionality. • Demonstrate working functionality directly to client stakeholders. Technical Profile Candidates should have meaningful hands-on experience with several of the following: • Python • Modern LLM APIs and frameworks • Agentic AI / orchestration • Prompt and context engineering • AI evaluation/testing • APIs and integration • JSON / data transformation • SQL and data analysis • Cloud environments • Rapid prototyping • Workflow/configuration platforms • Git and modern software-development practices Healthcare experience is helpful but technical capability and FDE mentality are more important for this role.