Business Consultant AI Integration Engineer

• 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 frameworks
• Configure and validate data flows, authentication mechanisms, and context delivery pipelines for approved AI tools
• Test and troubleshoot integration issues across APIs, connectors, permissions, and configuration layers
• Collaborate with stakeholders to define technical requirements, constraints, and integration strategies
• Create documentation, runbooks, and configuration guidance for context integration and operational support

• 2+ years of experience in AI tool integration, platform engineering, or developer enablement roles
• Strong experience with APIs, service integrations, authentication flows, and JSON-based data exchange
• Working knowledge of MCP or similar context-connector and integration patterns
• Proficiency in Python, JavaScript, or another scripting/programming language
• Experience validating integrations, troubleshooting data flows, and documenting technical implementations
• Working knowledge of Git-based workflows and standard software development practices
• Strong communication skills with ability to collaborate across technical and business stakeholders, Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field, * Experience with enterprise knowledge systems, context repositories, or retrieval-augmented architectures
• Familiarity with observability tools, logging frameworks, and runtime integration monitoring
• Exposure to enterprise AI platforms, governed rollout environments, or internal developer tooling ecosystems
• Experience working in consulting or professional services environments
• Understanding of secure enterprise integration patterns and compliance-driven architectures