AI SDLC Lead Engineer (m/f/d)

About the role

T-Systems Iberia is looking for an AI SDLC Lead Engineer to define and lead AI-assisted software development lifecycle patterns for repository intake, code exploration, service mapping, build diagnosis, documentation and engineering evidence generation. The role guides analysis of OpenStack-derived control-plane services, APIs, dependencies and build structures across multiple repositories and teams, and works in a hybrid setting within a global, international and collaborative environment.

Key responsibilities

• Evaluate and operationalize AI development platforms, coding agents and approved open-weight or Chinese coding model stacks for secure enterprise use cases.
• Set up human-in-the-loop controls, quality gates, prompt libraries, reusable review patterns and evidence standards for AI-generated engineering outputs.
• Coach software engineers and platform specialists on safe, effective use of AI tools, coordinating with architecture, security, DevOps and testing teams.
• Produce senior stakeholder-ready artefacts such as transition risks, service decomposition views, codebase maturity observations and recommended engineering actions.

Required profile

• 8+ years in software engineering, platform engineering or technical architecture roles, with proven ownership of complex engineering workstreams.
• Deep practical experience using AI coding agents and LLM-enabled SDLC workflows for large codebases, technical documentation and engineering acceleration.
• Able to lead senior engineers in ambiguous environments, challenge AI outputs and turn incomplete evidence into structured, actionable decisions.
• Comfortable in high-accountability, confidentiality-sensitive enterprise programs with auditability, traceability and sovereignty constraints.

Required skills

• Strong hands-on coding in Python plus at least one backend or systems language such as Go, Java, C, C++ or Rust.
• Understanding of OpenStack-derived cloud architectures, modular service decomposition, CI/CD, Kubernetes-based delivery and platform operations.
• Familiarity with tools such as Cursor, Windsurf, Claude Code, LangGraph, AutoGen, LlamaIndex, GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm and Docker.

What we offer

• Hybrid work model and flexible working hours.
• Customized training, including access to Coursera, weekly English and German classes, mentoring sessions and experience days.
• Flexible compensation plan covering health insurance, meal vouchers, childcare and transport, plus telemedicine and life and accident insurance.
• 26+ working days of vacation per year, specialist services and salary coverage during medical leave.