Location: Charlotte, NC
Salary: $80.00 USD Hourly - $85.00 USD Hourly
Description: AI Workflow Designer & Prompt ArchitectWe are not accepting C2C or 1099 arrangements.Location: Charlotte, NC (Charlotte-Bingham or CIC Office)
Work Arrangement: Hybrid, 3 days per week onsite
Duration: Initial 6-month contract with strong potential for extension or conversion to full-time employment
Start Date: ASAP
About the RoleWe are seeking an experienced
AI Workflow Designer & Prompt Architect to design, build, and optimize AI-powered solutions using Large Language Models (LLMs), AI agents, and workflow orchestration frameworks. This role sits at the intersection of AI engineering, prompt design, workflow architecture, and business problem solving.
You will transform complex business challenges into scalable AI solutions by designing intelligent workflows that coordinate prompts, tools, context, data sources, and agent interactions. Success in this role requires strong technical expertise, experimentation, troubleshooting capabilities, and the ability to improve AI system performance through evaluation and operational insights.
What You'll Do- Design and implement end-to-end AI workflows that leverage LLMs, agent frameworks, and orchestration platforms.
- Translate ambiguous business requirements into structured, scalable AI solutions and workflow architectures.
- Develop multi-step agent workflows that support reasoning, decision-making, content generation, analysis, and task execution.
- Define orchestration logic, agent interactions, tool integrations, context management strategies, and workflow dependencies.
- Create and maintain reusable prompt libraries, workflow templates, governance standards, and version-controlled assets.
- Design and optimize retrieval, grounding, memory management, and context engineering strategies to improve AI performance.
- Analyze workflow execution logs, model outputs, and agent interactions to identify root causes of failures or inconsistent behavior.
- Troubleshoot prompts, context windows, tool integrations, APIs, data pipelines, execution environments, and workflow dependencies.
- Build scripts, automation tools, and utilities that support experimentation, testing, monitoring, and operational efficiency.
- Establish evaluation frameworks and performance metrics that improve workflow reliability, accuracy, scalability, and business outcomes.
- Collaborate with technical and business stakeholders to deliver responsible, governed, and production-ready AI solutions.
- Stay current with advancements in generative AI, agentic systems, orchestration frameworks, prompt engineering, and emerging industry practices.
Minimum Qualifications- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent practical experience.
- Experience designing and implementing generative AI, LLM, or agent-based workflow solutions.
- Strong proficiency in Python and experience working with APIs, JSON, Markdown, and data integration tools.
- Experience developing and optimizing prompts, AI workflows, and human-in-the-loop processes.
- Strong analytical and problem-solving skills with the ability to convert complex business needs into scalable technical solutions.
- Experience evaluating AI system performance and improving output quality through testing and iteration.
- Proven ability to diagnose and resolve issues across prompt design, agent behavior, integrations, and workflow execution.
Preferred Qualifications- Experience with agent orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
- Deep understanding of Retrieval-Augmented Generation (RAG), context engineering, memory management, tool calling, and agent planning patterns.
- Experience with multi-agent architectures and enterprise AI workflow design.
- Familiarity with AI-assisted development tools including GitHub Copilot, Cursor, Claude Code, or similar platforms.
- Experience integrating AI solutions with enterprise systems, cloud platforms, automation tools, and business applications.
- Knowledge of AI governance, responsible AI practices, model evaluation, compliance, monitoring, and operational controls.
- Excellent communication and stakeholder management skills with the ability to influence both technical and non-technical audiences.
Required SkillsAgentic AI & Workflow Orchestration- Multi-agent workflow design
- Tool calling and workflow execution
- Agent handoffs and orchestration patterns
- Workflow architecture and optimization
Prompt & Context Engineering- Advanced prompt design
- Retrieval-Augmented Generation (RAG)
- Context and memory management
- Human-in-the-loop workflow design
- Grounding and response optimization
AI Engineering & Development- Python development
- API integration
- JSON and structured data processing
- Automation and scripting
- AI-assisted software development
Evaluation & Optimization- Workflow testing and validation
- LLM output analysis
- Failure diagnosis and troubleshooting
- Performance monitoring and optimization
- Reliability and accuracy improvement
Business Solution Design- Requirements discovery and translation
- AI solution architecture
- Process automation
- Scalable workflow design
- Stakeholder collaboration
Location: Charlotte, NC (Hybrid, 3 days onsite weekly)
Contract Length: 6 Months (Extension/Conversion Potential)
Benefits FeaturedMedical, Dental , and Vision Insurance is offered to qualified candidates.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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