Agentic SDLC Transformation Lead

Context & Challenges

You will drive the mutation of the software development life cycle (SDLC) towards an industrial model augmented by Artificial Intelligence (AI-Driven / Agentic SDLC).

Your role is to orchestrate and embed into the long term a transformation of engineering practices. The objective: to structure a modern methodological framework where developers and AI agents collaborate in a fluid, secure, and governed manner, in order to accelerate delivery speed while raising software quality standards.

Positioned as a true Tech & Change Transformation Leader, you bridge the gap between strategic vision, team acculturation, and concrete technical implementation on the ground (hands-on).

Main Missions

Structuring the Methodological Framework (AI-SDLC)

• Define and deploy the augmented engineering framework covering the entire life cycle:
• Automated exploration and mapping of the existing application estate.
• Formalization of AI-driven specifications (Specification-Driven Development).
• Architecture design and development guided by specialized agents.
• Advanced automation of acceptance testing, acceptance tests, and quality control.
• Dynamic documentation and knowledge management (Knowledge Management).
• Establish governance standards and rules to guarantee traceability, repeatability, security, and scalability of deliverables.

Agent Architecture & Orchestration

• Model an ecosystem of autonomous and collaborative virtual agents adapted to the challenges of dev teams.
• Structure the roles, contexts, and knowledge bases manipulated by agents at each stage of the cycle.
• Implement orchestration mechanisms, human-in-the-loop control loops, and inter-stage handoffs.
• Define the financial steering of model consumption and token management (TokenOps).

Change Management & Scaled Adoption

• Embody the CTO posture to acculturate, convince, and unite engineering teams around new practices.
• Design demonstrators, POCs, and high-impact use cases to prove value on the ground.
• Deploy the framework to pilot teams, then structure its generalization at scale (creation of a foundation of reusable components, templates, reference repositories).
• Identify and remove organizational, technical, or cultural barriers related to AI adoption.

Background & Experience

• 10+ years of global experience in software engineering, systems architecture, or technical leadership (SVP/VP Engineering, CTO organization, Head of Tech).
• Proven experience in driving large-scale engineering transformations (deployment of DevOps practices, Platform Engineering, or scaled Agility).
• Concrete (Hands-on) practice and mastery of Generative AI technologies applied to computer development.

Key Technical Skills

• Architecture & Engineering: Software architecture, SDLC, DevOps, CI/CD, test automation.
• Generative AI & Agents: LLMs (integration, limitations), multi-agent systems / autonomous agents, RAG (Retrieval-Augmented Generation), Prompt Engineering, Context Engineering.
• Tech Governance: TokenOps, AI FinOps, quality and security of generated code.

Soft Skills & Leadership

• CTO Posture & Strategic Vision: Ability to challenge the status quo, structure a technical vision, and translate it operationally.
• Leadership & Change Management: Excellent communicator, capable of engaging everyone from senior developers to decision-makers, animating communities, and breaking down adoption barriers.
• Innovation Spirit & Pragmatism: Results-oriented, with a strong desire to convert prototypes into repeatable industrial capabilities.

Talan is an international consulting and technological expertise group that supports and accelerates the digital transformation of its clients through the levers of technology, data, and innovation.

For over 20 years, Talan has advised and supported companies and public institutions in the definition and implementation of their transformation and innovation projects in Switzerland and internationally.

Present on 5 continents in 21 countries, the Group, certified Great Place To Work, has more than 7000 employees.

Equipped with a Research and Innovation Center, Talan puts innovation at the heart of its development and operates in the fields of technological mutations such as Artificial Intelligence, Data Intelligence, and Blockchain, to serve the growth of large groups and mid-caps in a committed and responsible approach.

By placing "Positive Innovation" at the heart of its strategy, Talan is convinced that it is by serving humanity that technology amplifies its impact on society as a whole.

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