Amaze Systems Inc

Lead design and implementation of enterprise-scale AI solutions for financial services automation, architecting scalable AI frameworks and ensuring regulatory compliance. | 15+ years AI/ML architecture experience with 8+ years in enterprise AI, expertise in LLMs, Azure OpenAI, Python, financial services domain, and advanced AI frameworks. | Job Title : AI Architect w/t Copilot Location : Remote (Consultants only from NY/NJ) Duration : Long Term 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, 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. Animesh Saurabh | Senior Talent Acquisition Specialist Amaze Systems Inc USA: 8951 Cypress Waters Blvd, Suite 160, Dallas, TX 75019 Canada: 55 York Street, Suite 401, Toronto, ON M5J 1R7 D: +1 E: USA | Canada | UK | India Amaze Systems is an Equal Opportunity Employer (EOE), and does not discriminate based on age, gender, religion, disability, marital status, race and also adheres to laws relating to non-discrimination on the basis of national origin and citizenship status.