Head of Agentic SDLC

Description

Job Summary: We are seeking a senior technical leader with strategic vision and an AI-first mindset to design, implement, and scale an AI-first delivery model in a dynamic and future-oriented environment. Key Highlights: 1. Design and scale an AI-first delivery model at El Corte Inglés. 2. Lead the organizational transformation toward an AI-automated SDLC. 3. Foster a culture of continuous evolution and customer service. **Are you looking to develop your talent in an environment where your efforts are recognized? We offer a dynamic, approachable, and forward-looking workplace. Here, every day is a new opportunity to learn, grow, and shine. Imagine being part of a diverse team where evolution and customer service are our top priorities. At El Corte Inglés, our work is a shared passion.** **The project awaiting you.** **Primary Objective** Design, implement, and scale an AI\-first delivery model enabling Grupo El Corte Inglés to: * Increase internal capacity for building digital products. * Reduce reliance on traditional outsourced development models. * Improve productivity, quality, and time\-to\-market. * Industrialize the use of AI across the entire software lifecycle. * Establish common standards, practices, agents, and platforms for the entire organization. * Objectively measure the impact of AI on technological delivery. **Core Responsibilities and Requirements.** **Main Responsibilities** --------------------------------- **3\.1 Define the AI\-first Delivery Model** ------------------------------------------------ * Design the AI-based operational model for digital product development. * Define how product, engineering, architecture, QA, security, and operations teams should collaborate in an AI\-first environment. * Evolve the traditional SDLC into a more automated, agent-assisted, and metrics-driven model. * Establish common principles for AI usage in planning, analysis, design, development, testing, documentation, deployment, and operations. * Translate technology strategy into concrete, team-applicable practices. **3\.2 Build the AI\-first Engineering Platform** -------------------------------------------------------- * Lead the definition of the development platform supporting the new model. * Integrate tools such as GitHub Copilot, Claude Code, ChatGPT Enterprise, specialized agents, CI/CD platforms, testing tools, observability solutions, and quality gates. * Define standards for agent usage, skills, prompts, rules, templates, and reusable artifacts. * Drive a consistent, secure, and productive development experience for all teams. * Ensure the platform is scalable, governable, and aligned with corporate policies. **3\.3 Industrialize Agent Usage Across the SDLC** ---------------------------------------------------- * Design agent use cases for planning, functional refinement, code generation, technical review, testing, documentation, and operational support. * Establish collaboration patterns among people, teams, and AI agents. * Define usage criteria based on complexity, criticality, cost, risk, and permitted autonomy level. * Create mechanisms for monitoring, traceability, and validation of decisions made by agents. * Ensure agents operate under corporate standards for architecture, security, quality, and compliance. **3\.4 Govern Quality and Impact** ----------------------------------------- * Define mandatory quality gates for teams adopting the AI\-first model. * Establish metrics for productivity, quality, security, and efficiency. * Measure lead time, cycle time, defect leakage, test coverage, technical debt, cost per delivery, and AI-assisted productivity. * Create benchmarking mechanisms across tools, models, agents, and practices. * Ensure AI usage delivers real, measurable impact—not merely superficial adoption. **3\.5 Lead Organizational Change** --------------------------------------- * Support technology and business teams in adopting the new model. * Identify domains, products, and pilot teams to progressively scale the transformation. * Create a phased adoption model: learn, expand, and scale. * Define roles, responsibilities, and new capabilities required within teams. * Serve as an internal reference point for AI-first delivery, modern engineering, and SDLC transformation. **3\.6 Ensure Governance, Security, and Compliance** -------------------------------------------------- * Define the governance framework for generative AI and agent usage in software development. * Guarantee traceability of generated code, technical decisions, and quality evidence. * Align the model with security, privacy, intellectual property protection, and regulatory compliance. * Establish controls to mitigate risks from excessive automation, model dependency, or insufficient human oversight. * Collaborate with architecture, security, legal, procurement, and risk teams to certify tools and practices. **4\. Required Profile** ------------------------ **4\.1 Experience** -------------------- * Over 10 years of experience in technology, software engineering, architecture, or digital transformation. * Experience leading enterprise-scale software development models. * Deep understanding of the software development lifecycle: discovery, design, architecture, development, testing, deployment, and operations. * Experience transforming technology organizations toward digital product models. * Experience with engineering platforms, DevOps, CI/CD, quality gates, automated testing, and observability. * Practical experience with AI tools applied to development: GitHub Copilot, Claude Code, ChatGPT Enterprise, development agents, LLMs, or equivalent platforms. * Experience leading multidisciplinary teams and collaborating with leadership, business, architecture, security, and operations. **4\.2 Technical Knowledge** ------------------------------- * Modern software engineering, Clean Architecture, DDD, and sound design practices. * Cloud, distributed, and scalable architectures. * DevOps, platform engineering, and developer experience. * SDLC automation. * Automated testing, TDD, quality gates, and quality metrics. * Generative AI applied to software development. * LLM models, agents, prompts, skills, rules, and orchestration. * Technical governance, security, privacy, and traceability. * Delivery and engineering productivity metrics. **5\. Key Competencies** -------------------------- * Strategic vision and execution capability. * Senior technical leadership. * AI\-first mindset. * Clear business-impact orientation. * Ability to transform complex organizations. * Systems thinking. * Capacity to define standards and make them scalable. * Focus on quality, security, and governance. * Clear communication with technical, executive, and business stakeholders. * Pragmatism: drive transformation without creating unnecessary bureaucracy. **We offer a variety of social benefits contributing to your well-being.** * Exclusive discounts and financing options. * Life insurance. * Corporate University. * Continuous training for professional development. * Study assistance for employees' children. * In-house medical service. * Flexible compensation plan. **If this position interests you, we invite you to apply—your experience could be highly valuable to us. At our company, everyone is welcome.**