AI Architect

  • NYC, NY
  • Posted 2 hours ago | Updated 2 hours ago

Overview

Hybrid
$75 - $80
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

AI
LLM
openAI
azure cloud services
SLM
A2A
Artificial Intelligence
Machine Learning (ML)
Private Equity

Job Details

Hi

Greetings!

We have an opening for AI Architect, NYC, NY. If you are interested, kindly share me your resume.

Role: AI Architect

Location: NYC, NY

Mode of Hire: Contract

Job Description:

Relevant Experience: 15+ Years

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.

Required Qualifications:

  • 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).

Key Responsibilities

  • 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,
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