AI-Native Software Engineering Lead / Agentic Development Expert (Ref. #26308)

PROSTAFF Schweiz GmbH; Zürich; Presencial; CHF 180.000 - 230.000; Jornada completa

Descripción de la vacante

PROSTAFF Schweiz GmbH in Zürich seeks an experienced AI-Native Software Engineering Lead to modernize PDLC/SDLC with AI-powered coding agents and autonomous workflows. You will drive adoption, design agentic pipelines, and mentor teams across engineering, DevOps, and architecture.

You will implement AI-first processes with clear oversight, governance, and quality gates while delivering proofs of concept in complex enterprise codebases and collaborating with platform teams.

Formación

• Extensive experience in software engineering for enterprise systems.
• Hands-on with AI-powered development tools and coding agents.
• Proven leadership of engineering teams and SDLC/PDLC adoption.
• Strong communication, stakeholder management and mentoring skills.
• Experience shaping AI-first development workflows and governance.

Responsabilidades

• Lead adoption of AI-native software engineering within enterprise teams.
• Design and optimize agentic workflows using AI coding agents and automation.
• Automate requirements analysis, code generation, testing, reviews, and deployment prep.
• Integrate AI tools (GitHub Copilot) into existing environments.
• Transform SDLC/PDLC into AI-first processes with governance and gates.
• Develop proofs of concept and apply AI-driven automation to large codebases.
• Establish governance for AI-generated code, validation, traceability, approvals.
• Mentor engineers and conduct workshops to accelerate AI adoption.

Conocimientos

AI-native design

Software engineering

Architectural leadership

DevOps & CI/CD

Mentoring & coaching

Stakeholder management

Communication

Problem solving

Herramientas

GitHub Copilot

LLM tooling

RAG tooling

Code generation agents

Descripción del empleo

We are looking for an experienced, hands-on AI-Native Software Engineering Lead to drive the transformation of software development practices within a complex enterprise banking environment.

The objective is to fundamentally modernize the Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC) by introducing AI-powered coding agents, autonomous engineering workflows, and AI-first development methodologies.

This role is not focused on building traditional AI applications or chatbots. Instead, you will work directly with engineering teams to demonstrate how AI agents can automate substantial parts of the software development process, from requirements analysis to implementation, testing, and deployment.

• Drive the adoption of AI-native software engineering practices within established enterprise development teams.
• Design, implement, and optimize agentic development workflows using AI coding agents and LLM-powered automation.
• Automate engineering activities, including requirements analysis, codebase exploration, solution design, code generation, testing, code reviews, and deployment preparation.
• Integrate AI-powered development tools, particularly GitHub Copilot and autonomous coding agents, into existing engineering environments.
• Transform traditional SDLC processes into AI-first workflows with clearly defined human oversight and quality gates.
• Develop practical proofs of concept and implement AI-driven automation within existing enterprise applications and complex codebases.
• Establish governance mechanisms covering AI-generated code, validation, traceability, approval workflows, and accountability.
• Collaborate closely with software engineers, architects, DevOps specialists, and platform teams.
• Mentor and coach development teams in adopting AI-assisted and increasingly autonomous engineering practices.
• Conduct technical workshops, demonstrations, and knowledge-sharing sessions to accelerate AI adoption.

• Extensive professional experience in software engineering, including designing, developing, testing, and maintaining enterprise applications.
• Proven hands-on experience with AI-powered software development tools and coding agents, preferably GitHub Copilot.
• Practical experience with LLMs, Generative AI, tool/function calling, RAG, structured extraction, and agentic workflows.
• Demonstrated experience implementing AI-powered automation or agentic workflows within existing large-scale software projects, rather than exclusively standalone prototypes.
• Strong understanding of the complete SDLC and PDLC, including requirements engineering, software architecture, development, testing, deployment, and maintenance.
• Experience working with complex enterprise codebases, established architectures, and mature engineering processes.
• Solid knowledge of DevOps practices, CI/CD pipelines, and engineering automation.
• Ability to independently develop proofs of concept and translate experimental approaches into practical engineering solutions.
• Experience mentoring software engineers and introducing new development tools, practices, and methodologies.
• Excellent communication, consulting, and stakeholder management skills.
• A pragmatic, hands-on mindset with the ability to work independently and collaboratively in dynamic environments.

Einsatzort: Zürich
Startdatum: 02.11.2026
Pensum: 100%
Projektdauer: 2 Monate ++