Principal AI Architect

AT&T•Dallas, TX

44d•Onsite

About The Position

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. AT&T is ushering in a new era of intelligent automation and secure AI innovation. We are seeking a visionary Principal AI Architect to lead the design, development, and deployment of advanced AI systems that integrate large language models (LLMs), prompt engineering, full-stack development, and AI cybersecurity. This role is ideal for a seasoned technologist with deep expertise in Python, AI agent orchestration, and secure enterprise-grade deployments. You will architect context-rich AI solutions, build scalable applications, and ensure the security and ethical integrity of AI systems. Your work will directly impact how AT&T leverages autonomous agents, Retrieval-Augmented Generation (RAG), and emerging technologies to transform operations and deliver intelligent digital services

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field preferred.
7+ years of professional experience in full-stack development and AI engineering.
Proven expertise in Python development and modern front-end frameworks (React.js, TypeScript).
Deep experience with LLMs (OpenAI, Anthropic, open-source), prompt engineering, and context management.
Hands-on experience with RAG pipelines, vector search, and multi-agent orchestration.
Strong understanding of cloud infrastructure (AWS, Azure, GCP), containerization (Docker), and CI/CD practices.
Demonstrated experience in AI security, including adversarial testing and secure deployment.
Excellent problem-solving, communication, and leadership skills.

Responsibilities

Architect and implement intelligent automation workflows using LLMs, prompt engineering, and dynamic context management.
Design and optimize prompts for precision and contextual relevance across diverse use cases.
Build and orchestrate multi-agent systems using frameworks like LangGraph.
Integrate LLMs into scalable Python applications using APIs and custom pipelines.
Develop and maintain robust backend services and optional front-end interfaces for end-to-end AI applications.
Lead the development of scalable web applications using Python (FastAPI, Flask, Django) and React.js.
Architect RESTful APIs and integrate third-party services.
Drive best practices in coding, testing, and application architecture.
Mentor junior developers and lead code reviews to ensure technical excellence.
Design and implement security protocols to protect AI systems from emerging cyber threats.
Conduct adversarial testing, vulnerability assessments, and compliance audits.
Develop secure coding standards and guide teams on responsible AI deployment.
Research and apply industry standards (e.g., NIST AI-RMF, ISO42001, OWASP Top 10 for LLMs) to safeguard AI systems.

Benefits

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
AT&T internet (and fiber where available) and AT&T phone.