Senior Engineer, AI Agentic – Transformation
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Job Description
Senior Engineer at Lifepoint Health designing and deploying AI-powered autonomous workflows. Collaborating across teams to translate business needs into technical AI solutions.
Responsibilities:
- 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:
- 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:
- Health insurance
- 401(k) matching
- Paid time off
- Flexible working arrangements
- Professional development opportunities
- Equipment allowances
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