Job Title: Senior AI Solution Architect OR LLM Solution Architect
Location: Dallas TX
Duration: 12+ months Contract
Required skills:
Define reference architectures for LLM/RAG and multi agent workflows.
Develop solution architectures for structured and unstructured data using RAG; create Action Agents for task automation.
Integrate heterogeneous data sources securely; ensure compliance and auditability.
Build production ready solutions with CI/CD, IaC, observability, rollbacks, and SLOs; lead deployment across environments (dev/test/staging/prod).
Quickly learn AT&T tools, frameworks, processes, and landscape; analyze use cases and identify optimal solutions.
Apply best practices and avoid anti patterns in architecture, data integration, and AI workflows.
Create solution design documents for each use case and develop proofs of concept (POCs) to validate feasibility.
Nice to have skills: 8+ years in solution architecture; 3+ years in AI/LLM systems. Expertise in cloud platforms (Azure/AWS/Google Cloud Platform), Python, and AI frameworks (e.g., LangChain/LangGraph, vector databases). Strong knowledge of data engineering, security, governance, CI/CD, IaC (e.g., Terraform), and runtime observability (metrics, logs, tracing). Oracle OCI experience is a plus.
Experience with multi agent orchestration, enterprise integrations (ticketing, reporting, messaging), and regulated environments.
Familiarity with governance processes and mixed DB landscapes
