AI Architect (GENAI)

Rivago infotech inc; Miami (FL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Rivago infotech inc in Miami, FL seeks a GenAI Technical Lead Architect to drive end-to-end AI platform architecture and client alignment. You will shape RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, Snowflake, and graph databases.

Lead offshore AI/ML engineers, define integration strategies with client APIs, and govern enterprise AI rollout with LLMOps practices and governance.

Qualifications

• 12–15 years in enterprise architecture and solution design.
• Proven experience designing end-to-end AI platforms and large-scale integrations.
• Strong API integration and governance experience.

Responsibilities

• Owns end-to-end technical direction and client alignment for the AI platform.
• Define integration strategy leveraging existing client APIs, minimizing custom build.
• Drive MCP connector design for multiple enterprise apps and data sources.
• Own RAG pipeline decisions: chunking, embedding model, and retrieval.
• Collaborate with client stakeholders to validate use cases.
• Guide the offshore AI/ML and data engineering team.

Skills

AI architecture

RAG pipelines

API integration

Low-code exposure

LLMOps governance

Tools

LlamaIndex

LangChain

Pinecone

Azure OpenAI

Appian

Job description

Role: GenAI Technical Lead Architect -- AI (GenAI, Azure)

Location: Miami, FL (Hybrid)

Type: FTE

Role Summary

Owns end-to-end technical direction and client alignment for the agentic AI platform. Primary technical interface with the client, translating business requirements into architecture spanning RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, Deal Cloud, Backstop CRM, Snowflake, and Graph DB.

Key Responsibilities

• Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration
• Define integration strategy leveraging existing client APIs, minimising custom build
• Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB
• Own RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranking
• Collaborate with client stakeholders (business IT) to validate use cases
• Guide the offshore team (AI/ML engineers, data engineers)

Technology Stack

• 8-10 years software/AI engineering; 1-2 years enterprise AI or agentic system design
• Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
• Strong API integration: REST, OAuth
• MCP / tool-layer design for LLM agents; FASTMCP a strong plus
• Financial services platforms (DealCloud, Backstop, or similar) advantageous

Preferred Skills

• Experience building AI platforms / control planes / orchestration layers
• Exposure to low-code/no-code platforms (Appian or similar)
• Experience with AI governance, LLMOps, and enterprise AI rollout
• Familiarity with map-based or data visualization platforms and with Neo4j / Cosmos DB

Experience & Profile

• 12--15 years in enterprise architecture and solution design
• Proven experience in end-to-end system design and large-scale implementations