

Rivago Infotech Inc
Head of Artificial Intelligence
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Technical Lead Architect in Miami, FL, on a contract basis, with a pay rate of "unknown." Requires 8-10 years in software/AI engineering, strong API integration skills, and experience in the banking sector.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Miami, FL
-
🧠 - Skills detailed
#CRM (Customer Relationship Management) #AI (Artificial Intelligence) #Snowflake #ML (Machine Learning) #Visualization #Cloud #Langchain #REST (Representational State Transfer) #.Net #API (Application Programming Interface) #Azure #Strategy #Neo4J
Role description
Fine With Relocation
Position Title - GenAI Technical Lead Architect – AI (GenAI, .NET, Azur
e)Location - Miami, FL, Hybrid (Travel client site twice every wee
k)Employment Type - Contrac
t End Client - Banking Sect
orJob Descripti
on
Role Summ
aryOwns 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 Responsibilit
• iesLead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestrat
• ionDefine integration strategy leveraging existing client APIs, minimising custom bu
• ildDrive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph
• DBOwn RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-rank
• ingCollaborate with client stakeholders (business + IT) to validate use ca
• sesGuide the offshore team (AI/ML engineers, data enginee
rs)Technology St
• ack8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system des
• ignHands-on RAG: LlamaIndex or LangChain, Pinecone, Azure Ope
• nAIStrong API integration: REST, OA
• uthMCP / tool-layer design for LLM agents; FASTMCP a strong p
• lusFinancial services platforms (DealCloud, Backstop, or similar) advantage
ousPreferred Ski
• llsExperience building AI platforms / control planes / orchestration lay
• ersExposure to low-code/no-code platforms (Appian or simil
• ar)Experience with AI governance, LLMOps, and enterprise AI roll
• outFamiliarity with map-based or data visualization platforms and with Neo4j / Cosmos
DBExperience & Prof
• ile12–15 years in enterprise architecture and solution des
• ignProven experience in end-to-end system design and large-scale implementati
ons
Fine With Relocation
Position Title - GenAI Technical Lead Architect – AI (GenAI, .NET, Azur
e)Location - Miami, FL, Hybrid (Travel client site twice every wee
k)Employment Type - Contrac
t End Client - Banking Sect
orJob Descripti
on
Role Summ
aryOwns 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 Responsibilit
• iesLead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestrat
• ionDefine integration strategy leveraging existing client APIs, minimising custom bu
• ildDrive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph
• DBOwn RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-rank
• ingCollaborate with client stakeholders (business + IT) to validate use ca
• sesGuide the offshore team (AI/ML engineers, data enginee
rs)Technology St
• ack8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system des
• ignHands-on RAG: LlamaIndex or LangChain, Pinecone, Azure Ope
• nAIStrong API integration: REST, OA
• uthMCP / tool-layer design for LLM agents; FASTMCP a strong p
• lusFinancial services platforms (DealCloud, Backstop, or similar) advantage
ousPreferred Ski
• llsExperience building AI platforms / control planes / orchestration lay
• ersExposure to low-code/no-code platforms (Appian or simil
• ar)Experience with AI governance, LLMOps, and enterprise AI roll
• outFamiliarity with map-based or data visualization platforms and with Neo4j / Cosmos
DBExperience & Prof
• ile12–15 years in enterprise architecture and solution des
• ignProven experience in end-to-end system design and large-scale implementati
ons






