AI Application Architect

Summary: The AI Application Architect role requires over 15 years of overall experience, with a minimum of 5 years specifically in AI. The position focuses on developing AI solutions, including LLM and Agentic AI, and involves backend and API development. Candidates should possess expertise in various AI architectures and backend technologies. This role is fully remote, allowing for flexible working arrangements.

Key Responsibilities:

• Develop AI solutions utilizing Vertex AI, Gemini, and Agentic AI architecture.
• Implement Model Context Protocol (MCP) and RAG architecture.
• Utilize vector databases and semantic search techniques.
• Conduct prompt engineering and optimization.
• Design AI orchestration frameworks and multi-agent workflows.
• Manage context strategies and AI governance frameworks.
• Develop backend systems using Java Spring Boot and REST APIs.
• Integrate security frameworks and API Gateway.
• Implement async/event-driven architecture and caching frameworks.

Key Skills:

• 15+ years of overall experience and 5+ years in AI.
• Expertise in Vertex AI, Gemini, and Agentic AI architecture.
• Proficient in Model Context Protocol (MCP) and RAG architecture.
• Experience with vector databases and semantic search.
• Strong skills in prompt engineering and optimization.
• Knowledge of AI orchestration frameworks and multi-agent workflows.
• Proficient in Java Spring Boot and REST APIs.
• Familiarity with security frameworks (OAuth2, JWT, RBAC).
• Experience with async/event-driven architecture and caching frameworks.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT