AI Solutions Architect (MCP & A2A)
Indexed description
Role: AI Solutions Architect (MCP & A2A)
Location: Boston, MA
Job Summary
We are looking for an AI Solutions Architect with experience in Model Context Protocol (MCP) and Agent-to-Agent (A2A) architectures to design, develop, and deploy enterprise AI solutions. The ideal candidate will have expertise in LLMs, AI agents, cloud platforms, and modern AI frameworks.
Key Responsibilities
- Design and implement AI solutions using MCP and A2A architectures.
- Build AI agents and integrate LLMs with enterprise applications.
- Develop RAG-based solutions using vector databases.
- Deploy scalable AI applications on Azure or AWS.
- Collaborate with cross-functional teams to define AI architecture and best practices.
Required Skills
- 8+ years of software development/architecture experience with 3+ years in Generative AI.
- Hands-on experience with MCP, A2A, Python, REST APIs, and AI frameworks (LangChain/LangGraph/Semantic Kernel).
- Experience with Azure OpenAI, OpenAI, Anthropic Claude, or Amazon Bedrock.
- Knowledge of RAG, vector databases, Docker, Kubernetes, and CI/CD.
- Strong communication and problem-solving skills.
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