Senior Cloud Data & AI Architect: Enterprise GenAI Strategy

Siri InfoSolutions Inc; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Siri InfoSolutions Inc. in Dallas, TX is seeking a Senior Cloud Data & AI Architect to lead modernization of data platforms from on-prem to cloud and to design scalable data pipelines and AI value chains.

The role emphasizes governance, security, and Gen AI strategies, with hands-on work on Snowflake, Databricks, and cloud platforms across AWS/Azure/GCP, and implementing RAG pipelines and memory management.

Qualifications

• Experience assembling enterprise data platforms including data lake and lakehouse architectures.
• Strong background in data governance, privacy, security, and regulatory compliance.
• Proven ability to design data products, data mesh, and medallion architecture implementations.
• Hands-on experience with LLMs, prompt engineering, and agent frameworks such as LangChain, AutoGen, and CrewAI.

Responsibilities

• Lead modernization of data platforms from on-prem to cloud for large customers.
• Architect scalable data pipelines (batch/real-time) and analytics platforms.
• Define and enforce data governance, metadata, lineage, and quality standards.
• Design AI and Gen AI solutions across data value chain and implement RAG pipelines with memory and tools.
• Collaborate with stakeholders to set data strategy and drive adoption of responsible AI frameworks.

Skills

LLMs

Prompt engineering

Agent frameworks

Python

Data governance

Security protocols

Enterprise data architecture

Data mesh

Medallion Architecture

MLOps pipelines

Tools

LangChain

AutoGen

CrewAI

OpenAI APIs

Anthropic Claude

FAISS

Pinecone

Weaviate

Snowflake

Databricks

Azure

AWS

GCP

Job description

Siri InfoSolutions Inc. in Dallas, TX is seeking a Senior Cloud Data & AI Architect to lead modernization of data platforms from on-prem to cloud and to design scalable data pipelines and AI value chains.

The role emphasizes governance, security, and Gen AI strategies, with hands-on work on Snowflake, Databricks, and cloud platforms across AWS/Azure/GCP, and implementing RAG pipelines and memory management.