Job ID: JOB_ID_689
Role Overview
We are seeking a highly skilled AI Solution Architect to lead the design and delivery of cutting-edge agentic AI solutions. This role is pivotal in leveraging both structured and unstructured data to drive business value through advanced RAG (Retrieval-Augmented Generation) techniques and the creation of autonomous Action Agents. As a senior leader in the AI space, you will be responsible for translating complex business requirements into secure, production-ready, and scalable architectures that strictly adhere to enterprise governance standards.
Key Responsibilities
- Define and maintain reference architectures for Large Language Models (LLM), RAG workflows, and multi-agent systems.
- Develop comprehensive solution architectures that integrate heterogeneous data sources while ensuring data integrity and security.
- Create and deploy Action Agents designed for complex task automation within the enterprise ecosystem.
- Lead the implementation of production-ready solutions utilizing modern CI/CD pipelines, Infrastructure as Code (IaC), and robust observability frameworks.
- Manage the full deployment lifecycle across development, testing, staging, and production environments, ensuring high availability and performance (SLOs).
- Collaborate with stakeholders at AT&T to analyze specific use cases and identify optimal AI-driven solutions that align with the existing technological landscape.
- Document solution designs meticulously and develop Proof of Concepts (POCs) to validate technical feasibility and business impact.
- Mentor junior engineering teams and provide architectural oversight to ensure best practices are followed and anti-patterns are avoided.
Technical Requirements
- 8+ years of experience in Solution Architecture with at least 3 years dedicated to AI/LLM systems.
- Expertise in cloud platforms including Azure, AWS, or GCP, with a strong preference for Azure OpenAI services.
- Proficiency in Python and AI frameworks such as LangChain, LangGraph, and various vector databases (e.g., Pinecone, Milvus).
- Deep understanding of data engineering, security protocols, and governance in regulated environments.
- Hands-on experience with Terraform for IaC and runtime observability tools for metrics, logs, and tracing.
- Experience with Oracle Cloud Infrastructure (OCI) is considered a significant advantage.
Professional Environment
This is an on-site position located in Plano, TX. The successful candidate will work within a fast-paced environment, partnering with cross-functional teams to prioritize high-impact AI use cases. You will be expected to quickly master internal tools and frameworks while contributing to the broader AI strategy of the organization. This role offers the opportunity to work on enterprise-scale problems involving multi-agent orchestration and complex messaging integrations.
Special Requirements
On-site requirement in Plano, TX; Experience with AT&T tools/landscape preferred; Domain: Regulated Telecommunications.
Compensation & Location
Salary: $185,000 – $255,000 per year (Estimated)
Location: Plano, TX
Recruiter / Company – Contact Information
Recruiter / Employer: AT&T
Email: chase4wilson@gmail.com
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