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.

Lead AI - Software Engineer:

At AT&T we reimagine the communications and technologies that connect the world. Our 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.

About the Team:

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, that amplify our best opportunities for success, aiming to revolutionize customer service experience while driving efficiency and growth for our organization.

About the Job:

We are seeking a passionate Lead Software Engineer to drive innovative solutions in the realm of customer service virtual assistants. You'll tackle diverse tasks, from architectural design to frontend and backend development, in a fast-paced and collaborative setting. Your technical expertise will be instrumental in shaping our product and enhancing the customer experience, ensuring seamless and efficient interactions with our virtual assistant.

As a valued team member, you will be part of a dynamic yet highly autonomous work environment, where each member has clear expectations and the freedom to explore exciting projects. Your contributions will help generate AI-driven sales revenue and advance customer support solutions by leveraging the Agentic AI framework like Google NGA/ADK to enable intent-less, AI agent-driven conversations, keeping you abreast of the latest trends and technologies in the field. Collaborating with cross-functional team members, you will facilitate smooth integration and spearhead innovation in our virtual assistant offerings, ultimately transforming customer service experiences and boosting user satisfaction.

What you'll do:

• 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 ATT technologies.

What you'll need:

Required Technical Qualifications:

• 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, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like Google Cloud Platform, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB 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
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.

Education & Other skills required:

• Bachelor's degree in computer science, software engineering, or a related field preferred
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

Nice to have skills:

• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge.

Supervisor: No

Our Lead Software Engineering, earns between $158,200-$237,400.USD Annual, Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and 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.

#LI-Onsite - Full-time office role-

Ready to join our team? Apply today.

Weekly Hours:
40

Time Type:
Regular

Location:
Bothell, Washington, Dallas, Texas

Salary Range:
$158,200.00 - $237,400.00

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.