Senior AI Engineer

At AT&T we’re redefining the future of communication by connecting people to greater possibility - with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one.

Our Product Development group, part of AT&T’s Technology Services (ATS) organization, is responsible for building software-based products, services, and platforms that our customers love and need. Harnessing technology and rebuilding software expertise, the team is inspiring simplicity with projects that deliver revenue and cost savings opportunities.

AT&T is building a new era of intelligent automation. We are looking for a Senior AI Engineer who combines strong, hands-on technical expertise with strong experience in designing and building enterprise AI systems. The ideal candidate will have strong AI engineering expertise to design, develop, implement, and integrate production-ready intelligent systems.

Strong expertise in full-stack Python, agentic frameworks (e.g., LangGraph, LangSmith), Model Context Protocol (MCP), prompt engineering, context engineering, harness engineering, Retrieval-Augmented Generation (RAG), large language models (LLMs), fine-tuning, and machine learning.

Big plus: Strong knowledge of modern data stack technologies (e.g., Databricks, Snowflake) for pipeline integration and scalable deployment.

As a Senior AI Engineer, you will design, develop, and deploy context-driven, production-ready AI solutions that transform how entire organizations work and deliver value. You’ll leverage the power of LLMs and next-gen AI agents to automate complex workflows, unleashing revolutionary productivity and efficiency. Your work will directly contribute to the adoption of autonomous AI agents, enabling smarter operations and seamless data pipelines.

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  Understand and analyze technical requirements and translate them into implementation tasks for agentic AI solutions.

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  Develop and integrate scalable agentic AI solutions, including the backend infrastructure required for seamless end-to-end deployment.

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  Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness, context handling, and overall agent performance.

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  Participate in code reviews, contribute to best practices, and mentor medior engineers on AI automation technologies and frameworks.

• Strong experience with full-stack Python development (FastAPI, Flask; SQL/NoSQL databases).

• Strong proficiency with agentic frameworks such as LangGraph and LangSmith, including prompt engineering, context engineering, harness engineering, MCP, RAG, large language models (LLMs), fine-tuning, and machine learning.

• Strong experience integrating AI agent solutions into production systems.

• Strong experience with cloud infrastructure, containerization (Docker), and CI/CD practices.

• Strong experience with AI-powered IDEs and tools such as Visual Studio, GitHub Copilot, Windsurf, Cursor, etc.

• Strong analytical, problem-solving, and communication skills.

Bachelor level degree or equivalent in Computer Science, or related field of study. 

This is a hybrid-flex worker position where our preference is for you to be present with your team in the office at least 2 days per week.   

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.