[Hiring] Senior Lead Software Developer @Lumen Technologies

Role Description

This is a high-accountability environment where bold ideas drive real innovation for customers, partners, and the industry. The successful candidate will take ownership, deliver meaningful impact, and help shape the future of AI-ready connectivity.

Lumen is seeking an experienced and hands-on Senior Lead Software Developer, AI Developer Enablement to help shape the next chapter of AI-assisted software engineering across the organization. This role will define, build, and scale reusable AI capabilities that:

• Accelerate developer productivity
• Reduce friction in everyday engineering work
• Transform practical AI workflows into high-impact accelerators for teams across the enterprise

The ideal candidate will bring deep expertise in:

• Modern software development
• AI-assisted engineering workflows
• Developer tooling
• Automation
• APIs
• Cloud platforms
• Enterprise engineering practices

This role will help make AI enablement practical, measurable, and transformational for developers across Lumen.

Responsibilities

• AI-Assisted Development Enablement:
  • Design and implement AI-enabled developer workflows for code generation, reviews, debugging, testing, documentation, research, incident triage, and platform navigation.
  • Establish scalable, secure, and repeatable patterns for AI adoption across engineering teams.
  • Develop reusable prompts, agents, integrations, and workflow accelerators that improve developer productivity.
• Developer Productivity & Experience:
  • Identify development friction and translate it into high-impact AI solutions.
  • Partner with engineering teams to reduce toil, accelerate delivery, improve onboarding, and enhance the developer experience.
  • Define adoption metrics, feedback loops, and success measures.
• Reusable AI Capabilities & Patterns:
  • Build and scale shared AI capabilities, reference architectures, prompt libraries, templates, and playbooks.
  • Partner with platform, architecture, and security teams to ensure AI solutions are maintainable and aligned with responsible AI practices.
• Technical Knowledge & AI-Driven Support:
  • Improve access to engineering knowledge through AI-powered search, summarization, technical Q&A, documentation generation, and context-aware support.
  • Transform tribal knowledge, coding standards, platform guidance, and operational playbooks into scalable AI-assisted experiences.
• AI Adoption & Community Enablement:
  • Drive AI adoption through demos, training, office hours, onboarding resources, reusable examples, and engineering community engagement.
  • Coach developers and technical leaders on practical AI usage and responsible engineering practices.
• Technical Delivery & Project Execution:
  • Lead AI enablement initiatives from discovery through production.
  • Identify and mitigate risks related to security, data access, hallucinations, quality, compliance, integrations, user experience, and operational support.
• Measurement & Continuous Improvement:
  • Measure AI impact through adoption, usage, cycle time reduction, automation, developer satisfaction, and quality improvements.
  • Use data and feedback to refine AI enablement strategies.
• Leadership & Technical Influence:
  • Provide technical leadership and mentorship for AI developer enablement.
  • Guide teams on architecture, prompt engineering, agent workflows, and responsible AI.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Advanced degree or equivalent practical experience preferred.
• 10+ years of experience in software development, platform engineering, developer productivity, AI enablement, automation, or related technical disciplines.
• Strong hands-on experience designing, building, and supporting modern software solutions.
• Experience with AI-assisted development workflows, coding assistants, generative AI capabilities, and applied AI solutions for engineering teams.
• Deep understanding of the software development lifecycle, code quality, testing, documentation, secure coding, CI/CD, operational reliability, and production support practices.
• Proven ability to translate ambiguous developer needs into practical, secure, scalable, and reusable technical solutions.
• Experience partnering with cross-functional teams including engineering, platform, security, product, architecture, operations, and business stakeholders.
• Strong communication skills with the ability to explain technical concepts and influence adoption.
• Strong understanding of responsible AI, data protection, security considerations, governance, and risk management for enterprise AI adoption.
• Demonstrated ability to mentor engineers, lead technical initiatives, and drive measurable improvements in developer productivity and engineering outcomes.

Preferred Skills

• Experience with LLM-based developer tools, AI coding assistants, agent frameworks, retrieval-augmented generation, vector search, tool calling, or workflow orchestration.

Location

This is a work from home position within the US.