Senior Engineer, AI Agentic – Transformation

Lifepoint Health®

Senior Engineer at Lifepoint Health designing and deploying AI-powered autonomous workflows. Collaborating across teams to translate business needs into technical AI solutions.

Posted 7/15/2026full-timeRemote • Tennessee • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-powered workflows using Azure AI Foundry and Anthropic Claude APIs, with a strong focus on API integration and security-by-design principles. Proven ability to translate business requirements into technical solutions and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

AI Workflow DevelopmentAzure AI FoundryAnthropic Claude APIsAPI IntegrationAgentic AI Projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ProgrammingSystems IntegrationAutomationOrchestrationTroubleshootingModel Context Protocol (MCP)Multi-Step AI Agent PipelinesEnterprise Automation TechnologiesPrompt EngineeringAgent Reasoning Chains

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

LangChainAutoGenSemantic KernelServiceNowOkta

Industry Keywords

AI-Powered WorkflowsAgentic SystemsEnterprise API InfrastructureSecurity-By-Design PrinciplesTechnical Solutions

Tech Stack

Tools & technologies

AzureERPServiceNow

About the role

Key responsibilities & impact

The Senior Agentic AI Engineer is a hands-on builder responsible for designing, developing, and deploying AI-powered autonomous workflows and agentic systems.
Design and build LLM-powered agentic workflows using Azure AI Foundry and Anthropic Claude APIs.
Develop multi-step AI agent pipelines using orchestration frameworks integrated with enterprise systems.
Implement Model Context Protocol (MCP) integrations to enable AI agents.
Apply security-by-design principles throughout all AI agent development.
Build, test, and iterate on prompts, system instructions, and agent reasoning chains.
Partner with the Backend Integration Engineer to connect agent workflows to existing enterprise API infrastructure.
Collaborate with the AI Business Analyst to translate business use cases into technical agent requirements.
Participate in code reviews and maintain internal documentation.

Requirements

What you’ll need

Bachelor’s degree in computer science, Information Systems, Software Engineering, or related field preferred. Equivalent practical experience or a strong portfolio of AI projects will be considered.
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 such as Azure AI Foundry, Anthropic Claude APIs, LangChain, AutoGen, Semantic Kernel, ServiceNow, Okta, ERP-connected workflows, or similar enterprise automation technologies.
Candidates should demonstrate 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 is strongly preferred.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible working arrangements
Professional development opportunities
Equipment allowances