[Hiring] Senior Engineer, AI Agentic & Transformation @Lifepoint Health

Role Description

The Senior Agentic AI Engineer is a hands-on builder responsible for designing, developing, and deploying AI-powered autonomous workflows and agentic systems that eliminate manual processes across the organization. The role requires an individual who is self-driven, intellectually curious, and able to work independently in a rapidly evolving technical environment.

• Design and build LLM-powered agentic workflows using Azure AI Foundry and Anthropic Claude APIs that automate business processes currently requiring manual human effort.
• Develop multi-step AI agent pipelines using orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, or custom implementations) integrated with enterprise systems such as ServiceNow, Okta, and ERP platforms.
• Implement Model Context Protocol (MCP) integrations to enable AI agents to securely access and act on enterprise data sources, tools, and APIs.
• Apply security-by-design principles throughout all AI agent development.
• Build, test, and iterate on prompts, system instructions, and agent reasoning chains to ensure reliable, accurate, and safe agent behavior across diverse business scenarios.
• Partner with the Backend Integration Engineer to connect agent workflows to existing enterprise API infrastructure and MCP server endpoints.
• Collaborate with the AI Business Analyst to translate business use cases into technical agent requirements and working prototypes.
• Participate in code reviews, maintain internal documentation, and contribute to the team’s shared engineering standards for agentic AI development.
• Stay current with rapidly evolving AI tooling, model capabilities, and agentic design patterns.
• Assist in evaluating AI agent outputs for accuracy, safety, and alignment with intended business outcomes before production deployment.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Software Engineering, or related field preferred.
• 4+ years of experience in a foundational IT, software engineering, systems integration, or application development environment required.
• At least 2+ years of hands-on experience working with AI, automation, orchestration, or integration platforms.
• Practical experience building, supporting, or enhancing technical solutions in production or pilot environments.
• Strong core competencies in programming, API integration, troubleshooting, and systems thinking.
• Experience with agentic AI projects, whether in professional settings or through substantial independent work, is strongly preferred.

Requirements

• Working knowledge of Python and REST API consumption and integration.
• Familiarity with Azure cloud services; Azure AI Foundry experience is a strong plus.
• Understanding of LLM concepts: prompting, tool use/function calling, context management, retrieval-augmented generation (RAG), and multi-agent orchestration.
• Exposure to or eagerness to deeply learn Model Context Protocol (MCP).
• AI security awareness: prompt injection attacks, data leakage risks, insecure tool execution, jailbreaking techniques, and general OWASP software security principles.
• Experience with version control (Git) and basic software development lifecycle (SDLC) practices.
• Intellectual curiosity and a demonstrated self-directed learning habit.
• Strong problem-solving skills and ability to operate independently in a fast-moving, ambiguous environment.
• Excellent written and verbal communication skills.

Benefits

• Microsoft Azure AI Engineer Associate (AI-102) or Azure Fundamentals (AZ-900) preferred.
• Willingness to pursue relevant AI and Azure certifications is expected and supported by the organization.