Related skills
cloud mlops data pipelines sdlc architectureπ Description
- Technology Strategy: ensure design and components are extensible.
- Define and execute AI adoption strategies and multi-year roadmaps.
- Mentor technology leaders and teams, driving AI engineering excellence.
- Oversee the design, development, and deployment of AI-powered solutions with teams.
- Conduct architecture and design reviews for performance, security, and compliance.
- Define talent profiles and AI/ML upskilling programs.
π― Requirements
- 10+ years of engineering leadership in enterprise cloud solutions.
- AI/ML systems expertise, including LLMs and MLOps.
- Data pipelines and multi-agent orchestration experience.
- Collaborates with UX designers and engineers to shape product strategy.
- Systems thinker applying AI pragmatically for business value.
- Lead multi-geography AI initiatives and manage change.
π Benefits
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
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