AI Architect - Remote

AI Architect to lead the design and implementation of enterprise-scale AI solutions for financial services automation. Drive architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management operations., * Design end-to-end AI solutions for private equity fund operations and financial automation.

• Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration.
• Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems.
• Design and implement advanced RAG architectures including hybrid search, query routing, and contextual retrieval.
• Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP).
• Architect Small Language Model (SLM) integration for specialized tasks and cost optimization.
• Design enterprise-scale solutions supporting millions of documents with sub-second query response times.
• Establish AI governance, model safety protocols, and regulatory compliance frameworks.
• Lead architectural reviews for distributed AI systems, microservices, and cloud-native deployments.
• Hands-on development using Claude Code for rapid prototyping and agentic workflows.
• Drive architectural reviews for LlamaParse/Azure Document Intelligence integration.
• Design fault-tolerant, high-availability AI systems with automatic failover and load balancing.
• Establish comprehensive monitoring, observability, and performance optimization strategies.
• Mentor technical teams and establish AI engineering best practices using modern toolchains.

Oversee model performance evaluation using LangGraph evals and DeepEval frameworks.

• 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions.
• Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem).
• Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services.
• Strong background in Python, distributed systems, and enterprise architecture.
• Experience with Claude Code for agentic coding and AI-powered development.
• Proven track record in financial services or regulatory compliance environments.
• Expert knowledge of RAG architectures, advanced RAG patterns, and vector database optimization.
• Experience with Small Language Models (SLM), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP).
• Proven ability to architect and scale AI solutions for enterprise workloads (1M+ documents, sub-second response times).