Title: Agentic AI EngineerLocation/Schedule: Charlotte, NC with a hybrid weekly schedule (3 Days Onsite/2 Days Remote) Status: Salaried, Exempt Full-Time Position Summary A rapidly growing healthcare services organization is seeking its first Agentic AI Engineer to help shape and deploy enterprise-wide AI capabilities. This newly created role offers a unique opportunity to work directly with executive leadership and business stakeholders to understand operational processes, identify automation opportunities, and deliver production-ready agentic AI solutions.
Unlike traditional architecture-focused positions, this role is centered on implementation, experimentation, and execution. The ideal candidate is a builder who enjoys moving quickly from concept to deployment and thrives in environments where requirements are evolving and ambiguous.
Ideal Candidate Profile We are seeking someone who:
- Partners effectively with executives and business leaders to solve operational challenges.
- Understands complex operational data, large semantic models, Power BI semantic models and reporting environments, and modern AI tooling to investigate business questions.
- Can take an ambiguous business problem and build a working AI solution that generates actionable insights.
- Is comfortable working with tools such as Codex, Claude Code, Cursor, and modern agent frameworks.
- Understands enterprise systems, integrations, and business processes.
- Focuses on delivery and execution rather than high-level solution architecture.
- Has experience developing agents that reconcile insurance data, summarize clinical or operational records, automate procurement variance analysis, and trigger workflows in enterprise systems.
- Understands the importance of protecting PHI and sensitive employee information.
Key Responsibilities AI Agent Development - Design and develop AI agents utilizing LLMs and agent frameworks.
- Build multi-agent workflows for enterprise use cases.
- Implement reasoning, planning, memory, and tool-use capabilities.
- Develop reusable agent templates and autonomous workflows integrated with enterprise applications.
- Incorporate PHI/HIPAA-aware development practices including RBAC, audit logging, least-privilege access, prompt injection defense, evaluations, and human approval mechanisms for high-risk actions.
Enterprise Integration Connect AI agents with:
- CRM platforms such as Salesforce and HubSpot.
- Healthcare and dental EMR systems.
- Databases, internal APIs, and SaaS applications.
- Power BI semantic models, datasets, reports, and embedded analytics environments.
- Retrieval-Augmented Generation (RAG) solutions leveraging company knowledge repositories.
- Authentication, authorization, and secure function-calling mechanisms.
Platform Engineering - Develop and maintain agent orchestration workflows.
- Monitor agent reliability, performance, and operating costs.
- Build testing, evaluation, observability, and logging frameworks.
- Optimize prompts, workflows, and tool utilization.
Delivery & Collaboration - Partner with business teams to identify automation opportunities.
- Translate operational requirements into agentic AI solutions.
- Partner with Finance and business leaders to augment existing reporting processes, including Power BI-based analyses and operational insights, with agentic AI solutions.
- Rapidly prototype and iterate on AI-driven workflows.
- Document implementation standards and mentor junior developers on best practices.
Required Qualifications - 3-5+ years of software engineering experience.
- Strong Python development background.
- Experience building applications utilizing LLM APIs such as OpenAI, Anthropic, or Google.
Experience with:
- Healthcare or dental EMR platforms.
- LangGraph
- LangChain
- CrewAI
- AutoGen / Microsoft Agent Framework
- MCP-enabled systems
- API integrations
- SQL and relational databases
- Power BI, including semantic models, DAX, datasets, and report integrations.
- AWS, Azure, or GCP cloud environments.
Preferred Qualifications - Vector databases including Pinecone, Weaviate, or pgvector.
- Retrieval-Augmented Generation (RAG) architectures.
- Agent evaluation frameworks.
- CI/CD and DevOps practices.
- Docker and Kubernetes.
- Knowledge graph implementation.
- Prompt engineering and model tuning.
- Experience leveraging Power BI as an input, output, or orchestration layer within AI-driven workflows and enterprise automation initiatives.
Success Metrics - Number of production AI agents delivered.
- Workflow automation hours saved.
- Agent reliability and task completion rates.
- Reduction in manual processes.
- User adoption and satisfaction.
- Cost efficiency of deployed solutions.
- Time-to-deployment for new agent solutions.
Compensation & Benefits - $140,000-$175,000 base salary plus 10-15% annual bonus.
- Hybrid work arrangement with three days per week onsite in Charlotte, NC.
- Comprehensive benefits package including medical, dental, vision, life insurance, wellness programs, 401(k), paid holidays, competitive PTO, paid parental leave, and annual incentive opportunities.
