OCI AI Solution Architect

OCI AI Solution Architect

Location: Plano, TX (On-site)

Bill rate is 85 we get candidates by 75

• Role Overview Design and deliver agentic Al solutions, leveraging structured and unstructured data, applying needs RAG techniques and creating Action Agents for automation.
• Translate business into secure, production-ready, scalable architectures aligned with governance standards.
• Key Responsibilities 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, laC, 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 Al workflows.
• Create solution design documents for each use case and develop proofs of concept (POCs) to validate feasibility.
• Partner with stakeholders to prioritize use cases and mentor engineering teams.
• Qualifications 8+ years in solution architecture; 3+ years in AI/LLM systems.
• Expertise in cloud platforms (Azure/AWS/Google Cloud Platform), Python, and Al frameworks (e.g.. LangChain/LangGraph, vector databases).
• Strong knowledge of data engineering, security, governance, CI/CD, laC (e.g., Terraform), and runtime observability (metrics, logs, tracing).
• Oracle OCI experience is a plus.
• Preferred Experience with multi-agent orchestration, enterprise integrations (ticketing, reporting. messaging), and regulated environments.
• Familiarity with governance processes and mixed DB landscapes