AI Solution Architect

Net2Source • Sfo, CA

1d • Onsite

About The Position

Join a Global Leader in Workforce Solutions – Net2Source Inc. Who We Are Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 32 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision—Right Talent. Right Time. Right Place. Right Price. Role Specific Responsibilities Include: Role Overview Design and deliver agentic AI solutions, leveraging structured and unstructured data, applying RAG techniques and creating Action Agents for automation. Translate business needs into secure, production‐ready , scalable architectures aligned with governance standards.

Requirements

• 8+ years in solution architecture; 3+ years in AI/LLM systems.
• Expertise in cloud platforms (Azure/AWS/GCP), 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).

Nice To Haves

• 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.

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, 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.
• Partner with stakeholders to prioritize use cases and mentor engineering teams.

Benefits

• Think work-life balance, professional growth, and a collaborative culture where your ideas matter.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed