Agentic AI Engineer

Charlotte, NC


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Type: Direct-Hire

Category: Information Technology

Reference ID: 10076878

Shortcut: http://addisongroup.gosnaphop.com/rRqvYY


Title: Agentic AI Engineer

Location/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.


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