AI-Native Software Engineer, Senior

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 seeking an AI-Native Software Engineer, Senior who combines strong software engineering fundamentals with expertise in AI-enabled application development, agentic workflows, and enterprise system integration. In this role, you will build production-grade applications, APIs, and intelligent workflow automations that help transform how work gets done across the enterprise.

You will partner directly with business and technical stakeholders in a collaborative “2-in-a-box” model, rapidly translating business needs into scalable, secure, and maintainable software solutions. Success in this role requires a deep understanding of modern software engineering, practical experience applying Large Language Models (LLMs) and agent frameworks, and a passion for using AI to accelerate both software delivery and business outcomes.

What You’ll Do

Build AI-Powered Applications & Agentic Workflows

• Design, develop, and deploy AI-enabled applications and intelligent workflow automations using modern LLM technologies.
• Build and orchestrate agentic workflows leveraging frameworks such as LangGraph and similar orchestration platforms.
• Develop multi-step and multi-agent solutions including routing, planning, tool utilization, workflow execution, and escalation patterns.
• Implement retrieval-augmented generation (RAG), vector search, and context management strategies to improve AI accuracy and effectiveness.
• Establish evaluation frameworks, testing methodologies, and release controls for AI-enabled solutions.

Engineer Enterprise-Scale APIs & Integrations

• Design and build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
• Integrate AI solutions with enterprise systems, databases, event streams, and approved APIs.
• Develop secure service contracts, validation frameworks, retry mechanisms, and observability capabilities.
• Ensure enterprise-grade security, governance, auditability, and access controls across all integrations.

Deliver Full-Stack Software Solutions

• Develop end-to-end applications spanning backend services, data platforms, integrations, and user-facing interfaces.
• Build modern web experiences and workflow-driven applications using contemporary front-end technologies.
• Collaborate with stakeholders to rapidly prototype, iterate, and productionize solutions that solve real business challenges.
• Contribute to reusable platform components, libraries, and software assets that accelerate adoption across teams.

Drive Operational Excellence

• Apply secure-by-design principles including authentication, authorization, secrets management, and compliance-aligned logging.
• Implement automated testing, CI/CD pipelines, monitoring, tracing, alerting, and performance optimization.
• Ensure reliability through resilient system design patterns including retries, timeouts, rate limiting, and graceful degradation.
• Leverage AI-assisted development tools to accelerate coding, testing, documentation, debugging, and delivery.

Partner with the Business

• Work directly with business leaders and stakeholders to understand objectives and translate requirements into technical solutions.
• Communicate complex technical concepts to non-technical audiences and influence solution decisions.
• Balance tradeoffs between speed, scale, cost, security, and maintainability.
• Operate in a highly collaborative environment where business and engineering teams jointly own outcomes.

What You’ll Need

Education

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.

Experience

• 5+ years of professional software engineering experience delivering production-grade applications and services.
• Experience building scalable backend services and RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
• Experience deploying and operating applications in cloud or enterprise environments.
• Experience integrating enterprise systems through APIs, databases, event-driven architectures, or service-oriented platforms.
• Experience implementing CI/CD pipelines, containerization technologies, and automated testing frameworks.
• Experience developing software solutions that leverage LLM capabilities and AI-assisted w…