Agentic SDLC Transformation Lead

About the job

Company Description

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

For over 20 years, Talan has been advising and supporting 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 more than 7000 employees.

Equipped with a Research and Innovation Centre, 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 mid-sized companies in a committed and responsible approach.

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

#TalanSuisse

Job Description

Context & Challenges

You lead the transformation of the software development lifecycle (SDLC) towards an industrial model enhanced by Artificial Intelligence (AI-Driven / Agentic SDLC).

Your role is to orchestrate and embed a lasting transformation of engineering practices. The objective: to structure a modern methodological framework where developers and AI agents collaborate smoothly, securely, and governed, 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 lifecycle:
  • Automated exploration and mapping of the existing application portfolio.
  • Formalisation of AI-driven specifications (Specification-Driven Development).
  • Architecture design and development guided by specialised agents.
  • Advanced automation of acceptance tests, quality control, and validation.
  • 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 development teams.
• Structure the roles, contexts, and knowledge bases handled 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 & Adoption at Scale

• 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 with pilot teams, then structure its generalisation at scale (creation of a reusable component base, templates, reference directories).
• Identify and remove organisational, technical, or cultural barriers related to AI adoption.

Qualifications

Background & Experience

• 10+ years of overall experience in software engineering, systems architecture, or technical leadership (SVP/VP Engineering, organisational CTO, Head of Tech).
• Proven experience in managing large-scale engineering transformations (deployment of DevOps practices, Platform Engineering, or scaled Agility).
• Practical (hands-on) experience 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, limitations), multi-agent/autonomous agent systems, 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, able to engage senior developers and decision-makers, animate communities, and break adoption barriers.
• Innovation Spirit & Pragmatism: Results-oriented, with a strong will to convert prototypes into repeatable industrial capabilities.

Additional Information