Lead AI - Software Engineer

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 AT&T we reimagine the communications and technologies that connect the world. The Consumer Technology eXperience team delivers innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and join us on our mission to be the best connectivity provider through 5G and Fiber. When you step into a career with AT&T, you won’t just imagine the future—you’ll create it.

The Virtual Assistant team is committed to delivering an intelligent, personalized, and proactive virtual assistant that boosts call deflection and generates incremental digital sales revenue in the customer service domain. Our mission is to delight customers with personalized experiences powered by cutting‑edge AI based digital tools, ensuring quick and accurate issue resolution while reducing the burden on live support agents. We leverage innovative technologies such as AI and machine learning to amplify our opportunities for success, aiming to revolutionize the customer service experience while driving efficiency and growth for our organization.

• Design, develop, and maintain scalable, secure, and high‑performance full‑stack AI driven applications using modern technologies.
• Collaborate with cross‑functional teams and stakeholders to gather requirements, create technical specifications, and deliver high‑quality AI agent focused software solutions on time.
• Engage in hands‑on development of critical software architecture components using various programming languages and methodologies.
• Lead architecture and design discussions to align solutions with the company’s technology roadmap and strategic goals.
• Troubleshoot, debug, and resolve complex technical issues to ensure optimal system performance and stability.
• Continuously evaluate and adopt new technologies and tools to enhance software quality, development processes, and team productivity.
• Participate in code reviews, offering constructive feedback and promoting a culture of continuous learning.
• Mentor and guide junior and mid‑level engineers, sharing knowledge and best practices.
• Contribute to defining and evolving software development standards, processes, and best practices.
• Collaborate on software requirements/user stories, provide estimates, and create design specifications.
• Work with engineers and architects to assess and test hardware/software interactions.
• Create and execute automated test plans and strategies based on business requirements.
• Drive and execute on various testing types: unit, integration, interface, end‑to‑end, dynamic application security, and user acceptance testing. Automate testing of AI based conversations and LLM Evals.
• Support applications by resolving configuration and environmental issues.
• Assist in the software deployment process.
• Provide senior‑level technical expertise and act as a subject matter expert on AT&T technologies.

• 8+ years of experience in full stack software development, including front‑end, back‑end, and database technologies.
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next.js, Node.js, and React.js.
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK, or Lang Chain/Lang Graph, creating AI agents.
• Strong experience with cloud platforms like GCP, Azure or AWS and cloud technologies such as Open Stack, Terraform, Ansible or Chef.
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like Lang Smith, Lang Fuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development.
• Strong experience working with databases such as Cassandra, Mongo
  
  DB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, caching and related technologies.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Proficie…