Senior Lead Software Developer

Senior Lead Software Developer, AI Developer Enablement Lumen is the trusted network for the AI-powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high-performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AI-ready connectivity, join us today. The Role At Lumen, the Senior Lead Software Developer, AI Developer Enablement, steps into an environment built on trust, accountability, and the opportunity to create meaningful impact. Working on the infrastructure customers depend on today while helping shape what comes next, this leader plays a critical role in advancing AI-ready connectivity through innovation, performance, security, and resilience. Each day, this developer partners with engineering teams across the organization to identify opportunities where AI can remove friction, accelerate delivery, and unlock new possibilities. By transforming repetitive development tasks into scalable AI-powered capabilities, they enable teams to work smarter, move faster, and focus more of their energy on creative problem-solving and innovation. Drawing on deep expertise in software engineering, AI solution design, agent development, workflow automation, APIs, platform integration, and knowledge retrieval, this leader creates reusable tools, intelligent agents, and practical solutions that become part of developers' everyday workflows. Their work helps establish trusted patterns for AI adoption that are useful, secure, and sustainable across the enterprise. The Senior Lead Software Developer, builds more than technology-they build capability. Through collaboration, technical leadership, and a commitment to continuous improvement, they help engineering teams embrace AI with confidence, improve productivity, and elevate the quality of software delivery. In doing so, they translate AI ambition into durable engineering excellence and help shape the future of innovation across Lumen. This is a work from home position within the US. The Main Responsibilities AI Skills & Agent Development + Design and scale AI assistants, agents, and workflows that support software development. Build solutions for code understanding, documentation, testing, engineering Q&A, and secure integration with approved tools and knowledge sources. Use Case Discovery & Solution Design + Work with engineering teams to identify productivity opportunities, define AI use cases, and create solution designs, prototypes, and adoption plans with measurable outcomes. Reusable Solution Engineering + Develop reusable components, APIs, prompt libraries, agent templates, and connectors. Establish standards for testing, documentation, monitoring, and lifecycle management. Engineering Knowledge & Automation + Connect AI solutions to trusted technical resources and automate tasks such as documentation, change summaries, system understanding, and technical support. Integration with Developer Workflows + Embed AI solutions into repositories, issue trackers, CI/CD platforms, collaboration tools, and internal portals to streamline developer workflows. Responsible AI, Security & Governance + Ensure AI solutions follow security, compliance, governance, and responsible AI standards through guardrails, evaluations, and risk controls. Adoption, Measurement & Continuous Improvement + Promote adoption through demos, pilots, training, and documentation. Measure impact using usage, efficiency gains, quality improvements, and developer feedback. Leadership and Technical Collaboration + Partner with engineering teams to provide guidance on architecture, integration, testing, and production readiness while encouraging innovation and AI adoption. What We Look For in a Candidate

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; advanced degree or equivalent experience preferred.
• 10+ years in software development, platform engineering, AI solutions, automation, developer tools, or related technical fields.
• Hands-on experience building production software, APIs, integrations, automation frameworks, developer tools, or enterprise platforms.
• Experience designing and implementing AI solutions, including agents, assistants, prompt workflows, RAG, knowledge search, and workflow automation.
• Strong knowledge of software development lifecycle activities, including agentic development, analysis, design, coding, testing, code reviews, documentation, release support, and troubleshooting.
• Experience partnering with engineering teams to identify use cases, validate prototypes, prioritize opportunities, and deliver scalable reusable solutions.
• Strong understanding of security, access control, data handling, compliance, responsible AI, quality assurance, and operational support for AI-enabled systems.
• Ability to create technical designs, implementation plans, reusable patterns, adoption materials, and business-focused technical summaries.
• Excellent communication and collaboration skills, with experience driving adoption, leading workshops, demonstrating solutions, and influencing technical stakeholders.
• Proven ability to lead initiatives, mentor developers, and improve developer productivity and engineering efficiency.

• Experience with LLMs, agent frameworks, prompt engineering, vector databases, embeddings, RAG, tool calling, and model evaluation.
• Familiarity with GitHub, GitLab, Azure DevOps, Jira, Confluence, ServiceNow, Backstage, OpenAI-compatible APIs, and similar tools.
• Experience building connectors for engineering systems, knowledge bases, repositories, CI/CD tools, service catalogs, and collaboration platforms.
• Knowledge of cloud services, serverless architectures, containers, microservices, event-driven systems, and modern integrations.
• Experience evaluating AI solutions through prompt testing, regression testing, human review, telemetry, and quality measurement.
• Experience creating self-service developer platforms, enablement programs, and reusable engineering accelerators.
• Cloud, AI, software engineering, security, or DevOps certifications are a plus.