Lead AI Engineer

CBTW

. Define and maintain the company-wide AI vision, strategy, and roadmap .

Posted 10/6/2026full-timeGeneva • SwitzerlandSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and maintaining AI strategy, governance, and architecture while effectively integrating AI capabilities into engineering processes. Proficient in leading AI initiatives and translating business objectives into technology investment roadmaps.

Highest-signal resume keywords

AI Strategy DevelopmentAI Governance FrameworkModern AI TechnologiesCybersecurity and Data GovernanceEnterprise Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringDigital TransformationAI PlatformsLLMsRAGAgentic SystemsConfiguration ManagementChange ControlTraceabilityCertification Processes

Soft Skills

Strategic AdviceCoachingWorkshop FacilitationExecutive Engagement

Tools & Technologies

GitHubJiraCI/CDDocumentation-as-Code

Certifications & Qualifications

G Permit

Industry Keywords

AI VisionAI RoadmapRegulatory DevelopmentsAI Use CasesTechnical Architecture

About the role

Key responsibilities & impact

Define and maintain the company-wide AI vision, strategy, and roadmap
Establish a governance framework for the safe, secure, and effective adoption of AI
Identify and prioritize AI investment opportunities
Monitor AI-related regulatory developments and assess their impact
Provide strategic advice to management
Evaluate emerging technologies, including AI platforms, LLMs, RAG, and agentic systems
Define selection criteria and contribute to purchasing decisions for AI platforms, services, and tools
Define and maintain the AI reference architecture
Contribute to integrating AI capabilities into the engineering toolchain
Define best practices for AI-assisted engineering
Expand AI use cases across non-technical activities
Coordinate pilots and POCs, then measure benefits, risks, and ROI
Support team upskilling through coaching, workshops, and awareness initiatives

Requirements

What you’ll need

At least 10 years of experience in software/systems engineering, digital transformation, enterprise architecture, or data/AI
Experience leading AI initiatives or enterprise-wide transformation programs
Ability to translate business objectives into technology strategy and investment roadmaps
Proficiency in modern AI technologies, including LLMs, RAG, agentic systems, and enterprise AI platforms
Strong understanding of cybersecurity, data governance, privacy, intellectual property, and compliance
Knowledge of configuration management, change control, traceability, and certification-oriented processes
Proficiency with modern toolchains, including GitHub, Jira, CI/CD, and documentation-as-code
Ability to engage with executive committees and work on technical architecture
Fluent English; French strongly preferred
Based in Switzerland, holding a G permit, or willing to relocate to the region
Available at short notice for a position based in Geneva

Benefits

Comp & perks

Career development opportunities throughout your career through training and certifications
Tailored career support from an HR advisor, with regular check-ins with the Business Manager
Communities for sharing common interests and technical expertise
Internal events, including after-work gatherings, annual parties, and seminars
Collaboration within a dynamic, open-minded international company