Lead AI Engineer
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Key skills for this role
About the Role
Lead AI Engineer will lead and manage AI Engineering Team, delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in t.
Key Skills for This Role
Responsibilities
- Drive end to end delivery of scalable AI and Generative AI features from conceptualization to deployment and monitoring
- Prioritize scalable implementation and efficient deployment strategies on Azure using CI/CD and MLOps
- Ensure engineering excellence through rigorous technical reviews and high code quality standards
- Partner with Product and Engineering teams to align AI innovation with user needs and business goals
- Guide the AI engineering team in building reusable tools, frameworks, and experimentation pipelines
- Stay updated on Gen AI trends and promote innovation culture through mentoring and workshops
- Ensure all AI solutions meet safety, privacy, and ethical standards
Requirements
- Experience leading and managing AI engineering teams
- Expertise in end to end delivery of scalable AI and Generative AI features
- Proficiency in Azure, CI/CD, and MLOps principles
- Strong technical leadership and people management skills
Full Job Posting
Role Overview
- Lead AI Engineer will lead and manage AI Engineering Team, delivering projects from end to end: problem statement and conceptualization, proof of concept, and participation in the final deployment. The role combines technical leadership, people management, and applied AI Engineering, ensuring AI inn
Key Responsibilities
- Drive the end to end delivery of scalable AI and Generative AI features, from initial conceptualization and prototyping through fast, reliable deployment, and continuous monitoring in live learning environments.
- Prioritize scalable implementation and efficient deployment strategies on Azure, leveraging CI/CD and MLOps principles.
- Ensure engineering excellence through rigorous technical reviews, maintaining high code quality and architecture standards.
- Partner closely with Product and Engineering teams to align AI innovation with user needs and business goals, providing clear communication on project status, risks, and technical decisions.
- Guide the AI engineering team in building reusable tools, frameworks, and experimentation pipelines to accelerate future feature launches.
- Stay updated on the latest Gen AI trends and technologies, applying findings pragmatically.
- Promote a strong innovation culture through mentoring, workshops, and documentation.
- Ensure all AI solutions meet safety, privacy, and ethical standards before scale up.
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