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.

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