
AI Enterprise Architect ( Google Cloud Platform , AWS , LLM integration )
Quick overview
Job description
Senior AI Transformation Architect
Irving, TX - Hybrid ( 3 days onsite )
Long-Term Contract
Senior AI Transformation Architect to lead enterprise AI initiatives — designing and delivering production-grade AI/LLM solutions, cloud architectures, and data systems at scale.
Must-Haves:
- Deep hands-on Google Cloud Platform expertise (Vertex AI, BigQuery, GKE, Cloud Run, Pub/Sub)
- Cross-platform AWS experience (Bedrock, SageMaker, EKS, Lambda)
- Hands-on LLM integration — OpenAI, Anthropic Claude, Google Gemini (not just theoretical)
- AI agent frameworks — LangChain, LangGraph, AutoGen, Google ADK, or similar
- RAG pipelines, vector databases, prompt engineering, LLM evaluation
- Enterprise data systems — MongoDB, PostgreSQL, Cassandra
- Microservices, event-driven architecture, Docker/Kubernetes, Terraform
- Production delivery mindset — this is a build role, not advisory
Nice to Have:
- Telecom/carrier-grade enterprise experience
- MCP server development
- Google Cloud Platform or AWS certifications
- AI governance / CoE leadership experience
who is Not a fit: Pure cloud architects with no AI depth, or AI researchers with no production engineering background.
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