Sr Specialist Member of Technical Staff - Oss Software Developer

AT&T AT&T · Telecom · Middletown, NJ +1

This role focuses on developing next-generation Operational Support Systems (OSS) by integrating Generative AI, LLMs, and Agentic AI for network operations, automation, and intelligence. The primary responsibility is to build AI-powered capabilities to automate workflows and decision-making within OSS applications, while also developing APIs, microservices, and cloud-native services. The role involves analyzing operational data, creating insights, and collaborating with various teams to deliver scalable solutions.

What you'd actually do

  1. Build AI-powered capabilities using Generative AI, LLMs, and Agentic AI frameworks to automate operational workflows and decision-making.
  2. Design, develop, and maintain OSS applications supporting service provisioning, activation, inventory, assurance, and network automation.
  3. Develop APIs, microservices, integrations, and cloud-native services that enable scalable OSS modernization.
  4. Analyze network and operational data to identify trends, optimize performance, and uncover automation opportunities.
  5. Create dashboards, analytics solutions, and operational insights that support business and engineering decisions.

Skills

Required

  • Software development experience in designing, building, and deploying enterprise applications.
  • Experience with one or more programming languages such as Java, Python, JavaScript, TypeScript, or Go.
  • Knowledge of REST APIs, microservices, SQL/NoSQL databases, and cloud platforms (Azure, AWS, or GCP).
  • Experience with software development best practices, testing, version control, and CI/CD processes.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to thrive in a fast-paced, collaborative engineering environment.

Nice to have

  • Experience with Generative AI, LLM integrations, prompt engineering, RAG architectures, vector databases, or AI model APIs.
  • Exposure to Agentic AI, autonomous workflows, multi-agent orchestration, or AI-assisted automation.
  • Data analytics experience, including reporting, data pipelines, dashboards, or operational intelligence solutions.
  • Telecom, networking, OSS/BSS, or service orchestration experience.
  • Familiarity with cloud-native development, containers (Docker/Kubernetes), event-driven architectures, Kafka, or workflow engines.
  • Bachelor's or Master's degree in Computer Science, Engineering, AI Technologies, or a related field.
  • Strong communication skills and a passion for innovation, automation, and emerging technologies.

What the JD emphasized

  • Generative AI
  • LLMs
  • Agentic AI
  • OSS

Other signals

  • Generative AI
  • Agentic AI
  • LLMs
  • OSS modernization
  • network automation