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.

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.

Education Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related technical field, or equivalent practical 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,