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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Define the AI roadmap and overall system architecture (cloud-native, secure, scalable).
- Lead R&D on emerging technologies to maintain our competitive edge.
- Guide the engineering and AI/ML teams in building, deploying, and monitoring robust models and data pipelines.
- Implement best practices in MLOps and CI/CD for rapid, reliable delivery.
- Mentor a high-performing team of engineers and data scientists.
- Act as the key liaison between technical teams, product, and executive leadership.
- Embed security, privacy, and compliance (GDPR, HIPAA) into every layer of the platform.
- Champion ethical AI principles and mitigate associated risks.
Requirements
What you’ll need- A proven track record architecting and delivering AI-driven products in a cloud-native environment (AWS/GCP/Azure).
- Deep expertise in the ML lifecycle, from model development (Python, etc.) to MLOps and performance evaluation.
- Strategic leadership experience, with the ability to mentor engineers, define a technical roadmap, and collaborate with C-level stakeholders.
- A firm grasp of data governance, security principles, and compliance standards like GDPR or HIPAA.
- An entrepreneurial mindset, thriving in a fast-paced environment and driven to build things that matter.
Benefits
Comp & perks- Founding Equity: As a cornerstone of our company, you'll receive a significant equity stake.
- Tackle a Grand Challenge: Solve complex, meaningful problems at the intersection of AI and mental health.
- Full Autonomy & Ownership: You are the architect. Design the technical vision, select the tech stack, and build your team with the full trust and support of the CEO.
- A-Player Team: Work alongside a small, brilliant, and dedicated team in a culture defined by intellectual curiosity, rapid execution, and mutual respect.
- Swiss Innovation Hub: Be based in Switzerland, a global leader in deep tech and innovation, with flexible working arrangements.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI roadmapsystem architecturecloud-nativeMLOpsCI/CDmodel developmentperformance evaluationdata pipelinesPython
Soft Skills
leadershipmentoringcollaborationstrategic thinkingentrepreneurial mindset