Azure AI Technical Lead

Position Title: Azure AI Lead Number of Openings: 1 Duration of Contract: 6+ months Years of Experience: 12-15 seeking a hands-on AI Technical Lead to drive the design and delivery of advanced AI solutions for healthcare and benefits administration clients (TPAs, health plans, and payer organizations). This role focuses on building LLM-powered applications, agentic workflows, and intelligent automation to modernize core benefits administration operations, including claims processing, eligibility, enrollment, and provider management. You will play a key role in delivering AI-led digital transformation initiatives across large-scale benefits administration environments. Key Responsibilities • Lead architecture and delivery of AI/LLM-driven solutions for benefits administration clients • Design and implement agentic AI workflows using LangGraph / LangChain • Build and deploy AI services using Python on Microsoft Azure • Develop RAG pipelines, embeddings, and vector-based retrieval systems • Integrate AI into core benefits administration workflows: • Claims adjudication and processing • Enrollment & eligibility • Benefits configuration and management • Provider data and network operations • Work directly with TPA and payer stakeholders to define AI use cases and roadmap • Ensure solutions meet HIPAA, CMS, and healthcare regulatory requirements • Establish best practices for LLM evaluation, governance, and hallucination mitigation • Provide technical leadership and mentorship across delivery teams Required Qualifications • 8+ years of experience in software engineering with strong focus on AI/LLMs • Hands-on expertise in Python • Experience with LangGraph, LangChain, or similar agent orchestration frameworks • Strong experience with Microsoft Azure (Azure OpenAI, Azure ML, AKS, Functions) • Experience building RAG architectures, embeddings, and vector databases • Strong understanding of APIs, microservices, and distributed systems • Proven experience supporting benefits administration / payer environments, including: • Third-Party Administrators (TPAs) • Health Plans (Medicare Advantage, Medicaid, Commercial) • Self-funded employer plans Preferred Qualifications • Experience with benefits administration / core admin platforms (Facets, QNXT, HealthEdge, RAM Technologies, etc.) • Knowledge of FHIR / HL7 standards • Experience building AI copilots, automation tools, or decision-support systems • Familiarity with data platforms and pipelines (ADF, Synapse, SQL)