
AI Technology Leader
9 hours ago
About the Role:
The ideal candidate will take ownership of the entire architecture development process from inception to completion.
Responsibilities include leading and managing the AI development team, conducting research for best AI models and solutions, developing and overseeing proofs of concept, providing technical leadership and mentorship, collaborating with stakeholders, driving recruitment and continuous training, defining the AI architecture and technical roadmap, and ensuring compliance with data privacy regulations and internal security standards.
Qualifications include a Bachelor's degree in Computer Science, Engineering, or Mathematics, 5+ years' of relevant experience, advanced knowledge of leading architecture solutions, strong interpersonal and collaboration skills, and ability to demonstrate technical concepts to non-technical audiences.
- Main Responsibilities:
- Lead and manage the AI development team to deliver scalable and production-ready solutions.
- Conduct research to determine the best AI models and solutions for integration into the company ecosystem and existing AI products.
- Develop and oversee proofs of concept (PoCs) to validate AI-driven capabilities and business value.
- Provide technical leadership and mentorship to team members across AI and software development functions.
- Collaborate with stakeholders to align AI initiatives with overall product vision and business strategy.
- Drive recruitment, onboarding, and continuous training of AI and engineering talent to build a high-performance team aligned with organizational goals.
- Define the AI architecture and technical roadmap, ensuring seamless integration into cloud-based platforms and existing systems.
- Own end-to-end lifecycle of AI feature development—from ideation, design, and prototyping to deployment and performance tuning.
- Establish MLOps practices for continuous training, evaluation, deployment, and monitoring of AI models.
- Ensure compliance with data privacy regulations, ethical AI practices, and internal security standards.
Bachelor's degree in Computer Science, Engineering, or Mathematics
5+ years' of relevant experience
Advanced knowledge of leading architecture solutions in the industry area
Strong interpersonal and collaboration skills
Ability to demonstrate technical concepts to non-technical audiences
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