AI Agent Architecture / Agent-to-Agent Protocol Specialist

AI Agent Architecture / Agent-to-Agent Protocol Specialist Location: Charlotte, NC (Hybrid – 3 Days Onsite / 2 Days Remote) Duration: 6–9 Month Contract (Potential Extension) Interview Process: Two Rounds (30 Minutes Each) Pay Rate: Up to $90/hr Position Overview Seeking an experienced AI Agent Architecture / Agent-to-Agent Protocol Specialist to support the design, development, and governance of enterprise AI solutions focused on agentic workflows, prompt engineering, orchestration patterns, and advanced Generative AI capabilities. This role will partner closely with Product, Architecture, Engineering, Governance, and Business stakeholders to design scalable, secure, and reusable AI solutions that support enterprise adoption of agent-based workflows and GenAI-powered business processes. The ideal candidate combines strong AI architecture expertise with hands-on experience designing agentic systems, prompt frameworks, orchestration patterns, and enterprise AI governance models. Key Responsibilities AI Architecture & Solution Design • Design scalable enterprise AI architectures supporting agent-based workflows and intelligent automation • Develop reusable AI solution patterns and reference architectures • Evaluate emerging AI technologies, frameworks, and agentic design approaches • Translate business use cases into practical AI-enabled solution designs • Define standards for AI architecture, scalability, governance, and operationalization Agentic AI & Agent-to-Agent Protocols • Design and evaluate agent-to-agent communication patterns • Develop multi-agent orchestration strategies and workflow architectures • Create reusable agent frameworks and interaction models • Support implementation of autonomous and semi-autonomous AI workflows • Evaluate emerging agentic AI technologies and protocol standards Prompt Engineering & Evaluation • Design, test, and optimize prompts for consistency, reliability, and business value • Develop prompt engineering best practices and governance standards • Create prompt evaluation frameworks and quality measurement approaches • Support prompt lifecycle management and version control processes • Improve AI response quality through structured testing and optimization Workflow Orchestration & Automation • Design AI-enabled workflow automation solutions • Build orchestration patterns supporting complex business processes • Define reusable workflow components and integration patterns • Partner with engineering teams to operationalize AI workflows • Support enterprise adoption of agent-based automation capabilities Governance, Risk & Responsible AI • Ensure AI solutions align with enterprise governance requirements • Support responsible AI, privacy, security, and compliance initiatives • Develop controls for model usage, prompt management, and agent governance • Partner with risk and compliance teams to assess AI-related risks • Establish standards for safe and governed AI implementation Stakeholder Engagement • Collaborate with Product, Architecture, Engineering, and Business teams • Communicate AI concepts to both technical and non-technical audiences • Document architecture decisions, standards, and reusable design patterns • Support AI strategy, adoption planning, and value realization initiatives Required Qualifications Experience • 5+ years of technology, architecture, AI, automation, or advanced analytics experience • Experience designing enterprise AI solutions and architectures • Hands-on experience with Generative AI and agentic AI concepts • Experience developing AI-enabled workflows and orchestration patterns • Strong background in prompt engineering and prompt evaluation • Experience translating business requirements into AI solution designs Technical Expertise Strong knowledge of: • AI Architecture • Agentic AI Design Patterns • Agent-to-Agent Protocol Concepts • Prompt Engineering • Prompt Evaluation and Optimization • Workflow Orchestration • Enterprise AI Solution Design • Responsible AI Frameworks • AI Governance and Controls • Data Protection and Operational Risk Management Collaboration & Communication • Experience partnering with Product, Architecture, Engineering, Governance, and Business teams • Strong documentation and presentation skills • Ability to navigate ambiguity and evolving AI requirements • Strong problem-solving and analytical capabilities Preferred Qualifications AI Platforms & Frameworks Experience with one or more of: • Microsoft Copilot Studio • Azure AI Services • OpenAI Platforms • LangChain • Semantic Kernel • AI Agent Frameworks • Orchestration Frameworks Industry Experience • Financial Services • Banking • Risk Management • Compliance • Enterprise Operations • Workflow Automation Additional Experience • AI evaluation frameworks • AI value measurement and tracking • AI adoption strategies • Reusable architecture pattern development • Enterprise AI operating models Ideal Candidate Profile The ideal candidate is an AI architect or advanced AI solutions professional with experience designing agent-based systems, multi-agent workflows, prompt engineering frameworks, and enterprise GenAI architectures. They possess strong technical depth, understand governance and risk considerations, and can bridge the gap between business objectives and AI-enabled solutions. Candidates with experience building reusable AI patterns, orchestrating complex workflows, and driving enterprise AI adoption within highly regulated environments will be especially successful in this role.