Senior AI Workflow Architect (contract)

Description

Title : Senior AI Workflow Architect

Location : Charlotte, NC

Duration : 6 months

Work Engagement : W2

Work Schedule : Hybrid 3 days in office/2 days remote

Benefits on offer for this contract position : Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Business Execution. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Business Execution business solutions. Strategically engage with client personnel.

Key Responsibilities:

• 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.
• Evaluate workflow effectiveness using qualitative and quantitative measures and implement improvements to increase reliability, accuracy, efficiency, and user outcomes.
• Improve context engineering strategies to optimize information retrieval, grounding, memory management, and response quality.
• Develop automation, scripts, and utilities to support workflow development, experimentation, testing, evaluation, monitoring, and operational efficiency.
• Perform data inspection, transformation, validation, and analysis activities to support AI workflow development and troubleshooting.
• Contribute to AI governance, risk management, quality assurance, and responsible AI practices by ensuring workflows operate within established standards and controls.
• Stay informed on emerging AI technologies, agent frameworks, orchestration platforms, prompt engineering techniques, and industry best practices.

Key Requirements:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• 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