Company Description

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

For over 20 years, Talan has advised and supported companies and public institutions in defining and implementing their transformation and innovation projects in Switzerland and internationally.

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

Equipped with a Research and Innovation Center, Talan places innovation at the heart of its development and operates in areas of technological change such as Artificial Intelligence, Data Intelligence, Blockchain, to serve the growth of large groups and ETIs in a committed and responsible approach.

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

#TalanSuisse

Job Description

Context & Challenges

You will lead the transformation 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 establish a long-term transformation of engineering practices. The objective: to structure a modern methodological framework where developers and AI agents collaborate fluidly, securely, and governed, in order to accelerate delivery speed while raising software quality standards.

Positioned as a true Leader in Tech & Change Transformation, 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:

  • Exploration and automated mapping of existing application assets.
  • Formalization of AI-driven specifications (Specification-Driven Development).
  • Architecture design and development guided by specialized agents.
  • Advanced automation of acceptance recipes, acceptance tests, and quality control.
  • Dynamic documentation and knowledge management (Knowledge Management).

• Establish governance standards and rules to ensure traceability, repeatability, security, and scalability of deliverables.

Architecture & Orchestration of Agents

• 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.

• Frame the financial management of model consumption and token management (TokenOps).

Change Management & Scaling Adoption

• Embody the CTO posture to acculturate, convince, and unite engineering teams around new practices.

• Design high-impact demonstrators, POCs, and use cases to prove value on the ground.

• Deploy the framework to pilot teams, then structure its generalization at scale (creation of a base of reusable components, templates, reference repositories).

• Identify and remove organizational, technical, or cultural barriers related to AI adoption.

Qualifications

Background & Experience

• 10+ years of global experience in software engineering, system architecture, or technical management (SVP/VP Engineering, CTO organization, Head of Tech).

• Proven experience in leading large-scale engineering transformations (deployment of DevOps practices, Platform Engineering, or Agile at scale).

• Concrete practice (Hands-on) and mastery of Generative AI technologies applied to software development.

Key Technical Skills

• Architecture & Engineering: Software architecture, SDLC, DevOps, CI/CD, test automation.

• Generative AI & Agents: LLMs (integration, limits), multi-agent systems / autonomous agents, RAG (Retrieval-Augmented Generation), Prompt Engineering, Context Engineering.

• Tech Governance: TokenOps, FinOps AI, 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 senior developers as well as decision-makers, animating communities, and overcoming adoption barriers.

• Innovation & Pragmatism: Results-oriented, with a strong desire to convert prototypes into repeatable industrial capabilities.