AI Workflow Designer & Prompt Architect

STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!

AI Workflow Designer & Prompt Architect
Location: Charlotte, NC
Hybrid schedule: 3 days onsite/2 days remote
W2 contract role
6+ Months with extension or conversion

Top Skills:

• Agentic AI & Workflow Orchestration: Designing multi-step LLM/agent workflows, tool calling, handoffs, and orchestration patterns.
• Prompt & Context Engineering: Strong prompt design, RAG, grounding, context/memory management, and human-in-the-loop patterns.
• Hands-on AI Engineering: Strong Python, APIs, JSON, data integration, scripting, and AI-assisted development.
• LLM Evaluation & Troubleshooting: Testing workflows, diagnosing failures, analyzing outputs/logs, and improving accuracy and reliability.
• Business-to-AI Solution Design: Translating ambiguous business problems into scalable, structured, end-to-end AI solutions.

In this role, you will:

• Translate business problems into structured AI workflow designs that break complex tasks into logical stages and execution paths.
• Design and maintain reusable prompt libraries, workflow templates, and orchestration patterns, with standardized templates, version control, evaluation criteria, change tracking, and lifecycle management.
• Design, develop, and optimize multi-step prompt workflows that enable AI agents to perform reasoning, decision support, content generation, analysis, and task execution activities.
• Define workflow architecture including prompts, context requirements, tool interactions, orchestration logic, handoffs, dependencies, and output requirements.
• Determine how information, memory, context, and intermediate outputs should be managed throughout workflow execution.
• Analyze workflow execution logs, model outputs, and intermediate agent responses to identify root causes of failures, performance degradation, or inconsistent results.
• Troubleshoot issues related to prompt design, context management, agent behavior, tool integrations, data pipelines, file structures, APIs, and execution environments.

Desired Qualifications:

• Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows.
• Strong problem-solving skills with the ability to translate complex business challenges into scalable AI solutions.
• Expertise in prompt engineering, human-in-the-loop workflows, and AI performance optimization.
• Ability to troubleshoot and diagnose issues across prompts, agents, context management, integrations, and workflow execution.
• Proficiency in Python, APIs, JSON, Markdown, and working with structured and unstructured data.
• Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms.
• Knowledge of agent orchestration frameworks, multi-agent architectures, and modern workflow orchestration patterns.
• Understanding of RAG, context engineering, memory management, tool calling, and agent planning methodologies.
• Experience integrating AI solutions with enterprise applications, automation platforms, cloud AI services, and business processes.
• Strong communication, collaboration, governance, risk, and responsible AI expertise, including evaluation, monitoring, compliance, and operational controls

*Beware of scams. S3 never asks for money during its onboarding process