Senior Engineer, AI Agentic & Transformation

EEOC Statement

Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment.

You must be authorized to work in the United States without employer sponsorship.

WORK ENVIRONMENT AND TRAVEL REQUIREMENTS:

The position is: Remote

Travel Requirements: Less than 25%

POSITION SUMMARY:

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. Candidates should demonstrate strong foundational software engineering skills the ability to learn new tools and concepts through self-directed study and an aptitude for applying emerging AI technologies to practical business problems. While direct production experience with all listed technologies is preferred it is not required if the candidate can show relevant technical ability sound problem-solving skills and a proven capacity to quickly build knowledge in new areas.

ESSENTIAL FUNCTIONS:

• 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 becoming an internal subject-matter expert on MCP patterns and best practices.
• Apply security-by-design principles throughout all AI agent development: prompt injection defense least-privilege tool access secrets management output validation and safe handling of sensitive organizational data.
• 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 teams shared engineering standards for agentic AI development.
• Stay current with rapidly evolving AI tooling model capabilities and agentic design patterns proactively experimenting and bringing new techniques to the team.
• Assist in evaluating AI agent outputs for accuracy safety and alignment with intended business outcomes before production deployment.
• Designing multi-step autonomous workflows
• Integrating AI with enterprise tools and APIs
• Prompt engineering orchestration tool calling RAG and agent safety
• Turning business use cases into working AI solutions
• Ensuring AI systems behave reliably securely and accurately

QUALIFICATION EDUCATION KNOWLEDGE SKILLS:

The requirements listed below are representative of the knowledge skills and/or abilities required.

EDUCATION:

Bachelors 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.

EXPERIENCE:

4 years of experience in a foundational IT software engineering systems integration or application development environment required including 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 along with 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.

KNOWLEDGE SKILLS & ABILITIES:

• 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) the emerging standard for connecting AI agents to enterprise tools and data sources.
• 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 personal projects open-source contributions online courses or similar evidence welcomed.
• Strong problem-solving skills and ability to operate independently in a fast-moving ambiguous environment.
• Excellent written and verbal communication skills able to explain technical concepts to non-technical stakeholders.

CERTIFICATIONS/LICENSURE:

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.