Lead Developer / Tech Lead (AI) (SME)

Randstad
Geneva, Switzerland
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Geneva, Switzerland

Tech stack

Artificial Intelligence
Business Logic
DevOps
Distributed Systems
Software Architecture
Systems Development Life Cycle
Software Engineering
Software Systems
Systems Integration
Enterprise Software Applications
Backend
Data Layers
Machine Learning Operations
Api Design
Data Pipelines

Job description

This role exists to lead the technical execution layer, ensuring AI capabilities are built into enterprise software with engineering excellence., You will operate as a Subject Matter Expert and technical leader, responsible for guiding the design and delivery of AI-enabled software systems.

Acting across consultative client engagements, outsourced delivery teams, or product development environments, you will set technical direction, uphold engineering standards, and ensure high-quality execution at scale., Technical Leadership (Core)

  • Define and enforce software engineering standards for AI-enabled systems
  • Lead architectural and technical design decisions
  • Review code, designs, and implementations across teams
  • Mentor and guide developers working on AI-integrated applications

AI-Enabled System Development

  • Design and implement scalable backend and service architectures
  • Integrate AI models and platforms into production software
  • Ensure clean separation between application logic, AI services, and data layers
  • Drive reliability, performance, and maintainability of AI-enabled systems

Delivery & Execution

  • Translate architectural designs into executable technical plans
  • Coordinate development activities across teams
  • Ensure delivery quality, timelines, and technical consistency
  • Act as escalation point for complex technical issues

Technical Scope

Software Engineering

  • Strong expertise in backend and distributed systems
  • API design, service orchestration, and system integration
  • Software architecture patterns and best practices

AI Integration

  • Model serving and inference integration
  • Interaction with AI platforms, data pipelines, and orchestration layers
  • Performance and reliability considerations for AI components

Production Awareness

  • Observability, monitoring, and incident handling
  • Security and compliance considerations in software design
  • Collaboration with DevOps, MLOps, and Infrastructure teams, This role is designed to anchor engineering execution for AI-enabled systems, acting as the technical spine of enterprise AI delivery.

You will position yourself as a Lead Engineering SME, enabling AI-powered systems to scale by orders of magnitude, and contributing to the construction of one of the most robust AI engineering organizations across Europe. Quentin Denais

Requirements

  • Strong background in software engineering and technical leadership
  • Experience leading development teams on complex systems
  • Exposure to AI-enabled systems or data-intensive platforms

Mindset

  • Engineering excellence and craftsmanship
  • Strong ownership and accountability
  • Ability to balance speed with long-term maintainability
  • Comfortable operating in complex, enterprise environments

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