Lead AI Engineer

CBTW

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

Posted 10/6/2026full-timeGeneva • SwitzerlandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and maintaining AI vision and strategy, with a strong focus on governance, compliance, and integration of AI technologies into engineering processes. Proven ability to lead AI initiatives and translate business objectives into actionable technology roadmaps.

Highest-signal resume keywords

AI Vision And StrategyAI Governance FrameworkModern AI TechnologiesEnterprise ArchitectureRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDigital TransformationAI PlatformsLLMsRAGAgentic SystemsCybersecurityData GovernanceConfiguration ManagementChange Control

Soft Skills

Strategic RecommendationsExecutive EngagementCoaching

Tools & Technologies

GitHubJiraCI/CDDocumentation-As-Code

Industry Keywords

Data PrivacyIntellectual PropertyComplianceTraceabilityCertification-Oriented Processes

About the role

Key responsibilities & impact

Define and maintain the enterprise-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
Advise management and provide strategic recommendations
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 to non-technical activities
Coordinate pilots and proof-of-concepts (POCs) before scaling
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 a technology strategy and investment roadmap
Strong command of modern AI technologies, including LLMs, RAG, agentic systems, and enterprise AI platforms
Solid 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 leadership while working on technical architecture
Fluent English; French strongly preferred
Resident in Switzerland, holder of a G permit, or willing to relocate to the region
Able to start promptly in a position based in Geneva

Benefits

Comp & perks

Training and certifications
Professional development opportunities throughout your career
Tailored career support with an HR representative and regular meetings with the Business Manager
Communities for sharing technical interests and expertise
Internal events, including after-work gatherings, annual parties, and seminars
Collaboration within a dynamic, open-minded international company