Business Consultant AI Integration EngineerLocation: Alpharetta, GA (100% Onsite)Duration: 12+ monthsJob Description:The Consultant – AI Context Integration & MCP Enablement is a specialized consulting role focused on enabling seamless integration between AI development tools and enterprise context sources using Model Context Protocol (MCP) and related integration frameworks. This role ensures that AI tools can reliably access, process, and utilize internal and external context data through well-structured, secure, and scalable integration patterns. Combining technical consulting, API integration expertise, and enablement delivery, this position helps enterprises operationalize context-aware AI systems that improve developer productivity and tool effectiveness.Day to Day Job Duties:Design, build, and implement integrations between AI developer tools and enterprise context sources using MCP or similar frameworksConfigure and validate data flows, authentication mechanisms, and context delivery pipelines for approved AI toolsTest and troubleshoot integration issues across APIs, connectors, permissions, and configuration layersCollaborate with stakeholders to define technical requirements, constraints, and integration strategiesCreate documentation, runbooks, and configuration guidance for context integration and operational supportBasic Qualifications:2+ years of experience in AI tool integration, platform engineering, or developer enablement rolesStrong experience with APIs, service integrations, authentication flows, and JSON-based data exchangeWorking knowledge of MCP or similar context-connector and integration patternsProficiency in Python, JavaScript, or another scripting/programming languageExperience validating integrations, troubleshooting data flows, and documenting technical implementationsWorking knowledge of Git-based workflows and standard software development practicesStrong communication skills with ability to collaborate across technical and business stakeholdersTravel: Onsite role in Alpharetta with limited travel based on business requirementsDegree: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical fieldNice to Have:Experience with enterprise knowledge systems, context repositories, or retrieval-augmented architecturesFamiliarity with observability tools, logging frameworks, and runtime integration monitoringExposure to enterprise AI platforms, governed rollout environments, or internal developer tooling ecosystemsExperience working in consulting or professional services environmentsUnderstanding of secure enterprise integration patterns and compliance-driven architectures