What are the responsibilities and job description for the Senior Data Architect – AI / RAG / Semantic Layer position at Sira Consulting, an Inc 5000 company?
We’re Building the “Brain” Behind Enterprise AI — Join Us
Role: Senior Data Architect – AI / RAG / Semantic Layer
Location: [Alpharetta, GA / Hybrid]
Experience: 10 Years
This Isn’t Just Another Data Architect Role
We’re building a next-generation Agentic AI Platform — where AI agents don’t just respond, they reason, retrieve, and make decisions.
At the center of this is the Semantic Context Layer — the system that connects data, context, and intelligence.
That’s where you come in.
What You’ll Own
You will architect the data foundation that powers AI agents, including:
- RAG Pipelines → Designing retrieval systems that combine vector graph intelligence
- Vector Databases → Building semantic search using tools like Milvus / Pinecone / Weaviate
- Knowledge Graphs → Creating ontologies and relationships (RDF / SPARQL / Neo4j / Stardog)
- Lakehouse Architecture → Working with Databricks, Iceberg, Delta Lake
- Real-Time Pipelines → Kafka-based event-driven data systems
- AI Data Layer → Enabling accurate, low-latency, context-aware AI responses
Why This Role is Different
- You’re not supporting AI… you’re enabling how it thinks
- Direct impact on reducing hallucinations & improving AI accuracy
- Work on cutting-edge AI architecture (RAG Semantic Agents)
- Collaborate with AI Engineers, Architects, and Leadership
- Build something few companies in the world are doing right now
What We’re Looking For
- Strong experience in Data Architecture Cloud (AWS/Azure/GCP)
- Hands-on with RAG / LLM / Generative AI ecosystems
- Experience with:
- Vector search / embeddings
- Knowledge graphs / semantic modeling
- Streaming (Kafka / real-time pipelines)
- Lakehouse platforms (Databricks / Delta / Iceberg)
- Ability to connect data → context → AI reasoning
Interested?
Drop a comment or message me directly.
Or share with someone who’s building the future of AI.
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