> Markdown version of [/jobs/ext/2695448-ai-data-architect-sme](https://www.wearedevelopers.com/jobs/ext/2695448-ai-data-architect-sme). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI & Data Architect / SME

- **Company:** Echo It Solutions, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Digital Assets, Data Flow Control, Graph Database, Identity and Access Management, Python (Programming Language), Performance Tuning, Cloudera, Search Technologies, Microsoft SharePoint, Enterprise Data Management, Google Cloud, Large Language Models, Snowflake, Adobe, AI Platforms, Data Lineage, Virtual Agents, Data Pipelines, Servicenow, Databricks
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/5d432275-0fbe-4fed-bffd-6a89af037139

## About the Role

* 9-12+ years in Data engineering/data architecture with recent GenAI/RAG delivery
 * Strong Enterprise Data Engineering | ETL/ELT | Data Modeling | Data Quality
 * Hands-on experience with Google Cloud Data Stack
 * BigQuery | Vertex AI Search | AlloyDB / Cloud SQL | Dataflow | Dataproc
 * Strong expertise in RAG Architecture | Embeddings | Vector Databases | Chunking | Hybrid/Semantic Search
 * Experience with RAG Grounding & Retrieval Quality Evaluation
 * Enterprise data integration experience with Databricks | ServiceNow | Snowflake | SharePoint / OneDrive | Adobe | PDFs
 * Strong Python & SQL skills with solid understanding of GenAI / LLM data patterns
 * Experience with AI Data Governance | PII | DLP | Data Privacy | Data Lineage | Access Management
 * Ability to architect data pipelines from enterprise sources into Google Cloud
 * Strong understanding of AI data readiness, knowledge design, and grounded AI responses
 * Experience advising architects and developers on data architecture and AI/ML workloads
 * Strong communication skills with experience engaging senior technical stakeholders, A senior AI & Data Architect / SME who can bridge enterprise data engineering and GenAI, with hands-on expertise in Google Cloud, RAG, data pipelines, governance, and AI-ready data architecture.

## Description

Looking for a senior AI & Data SME with deep expertise in enterprise data engineering, GenAI, RAG, and Google Cloud data services to support an enterprise Agent factory/AI platform., * Define the enterprise data-to-AI strategy for ingestion, normalization, embeddings, vector stores, and RAG grounding.

 * Architect and oversee data pipelines from enterprise source systems into Google Cloud.
 * Own retrieval quality, including chunking strategies, embedding models, hybrid search, and grounding accuracy.
 * Establish and enforce AI data governance, privacy, security, lineage, and data quality standards.
 * Guide model selection and cost/performance optimization for data-intensive AI agent workloads.
 * Partner with architects, developers, and engineering teams on data readiness and AI knowledge design.
 * Serve as a senior technical authority in stakeholder discussions around AI, data architecture, and platform dependencies.
 * Mentor Data & AI Engineers and establish standards for reusable data assets and AI-ready knowledge.

Good to Have:

 * Knowledge Graphs | GraphRAG | Corrective RAG / Self-RAG
 * Snowflake / Databricks Certifications
 * Google Professional Data Engineer certification
 * AI evaluation frameworks and observability


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)
- [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey)
- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)
- [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story)
- [NoCode LiveCode: Leveraging AI Tools to Craft Fully Functional Apps!](https://www.wearedevelopers.com/videos/1169-nocode-livecode-leveraging-ai-tools-to-craft-fully-functional-apps)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)