AI Architect

Rivago Infotech Inc; Miami (FL); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Rivago Infotech Inc. seeks an experienced Architect to own end-to-end technical direction for an agentic AI platform in a hybrid Miami environment. You will translate business requirements into architecture spanning RAG pipelines, MCP connectors, and cross-stack orchestration.

You will lead architecture across AI layers, define integration strategies with client APIs, and decide RAG pipeline details while guiding offshore teams of engineers.

Qualifications

• 12–15 years in enterprise architecture and solution design.
• Extensive experience in end-to-end system design for large-scale deployments.
• Hands-on with RAG tools and AI platforms.

Responsibilities

• Lead architecture across AI layers: RAG, MCP connectors, and agent orchestration.
• Define integration strategy using client APIs to minimize custom builds.
• Decide RAG pipelines: chunking, embeddings, Pinecone, and re-ranking.
• Collaborate with client stakeholders to validate use cases.
• Guide offshore AI/ML and data engineers.

Skills

RAG architecture

AI governance

LLMOps

Enterprise AI

Job description

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
• 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)
• 8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design
• Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
• Financial services platforms (DealCloud, Backstop, or similar) advantageous

Preferred Skills

• 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.