Job Summary
The Senior Manager AI and Generative AI Services will lead a high-performing engineering team to design develop and deploy cutting-edge AI solutions. This role demands deep expertise in cloud platforms AI/ML technologies and search architectures. The manager will drive technical strategy ensure alignment with business goals and foster innovation across global teams while maintaining high standards of scalability performance and reliability.
- Lead the technical vision and strategy. Ensure alignment with business objectives.
- Oversee the end-to-end development deployment and operation. Ensure security availability operations scalability and performance.
- Collaborate with cross-functional teams including product management engineering leadership data science and operations to deliver high-quality solutions.
- Stay current and foster adoption of advancements in AI/ML generative and agentic AI and cloud technologies.
- Mentor hire and grow a global development services team. Foster a culture of technical excellence and innovation
Job Requirements
- Proven ability to define and execute technical vision aligned with business objectives.
- Experience mentoring hiring and growing global development teams.
- Skilled in managing risks identifying bottlenecks and resolving technical challenges.
- Experience in ensuring security scalability and performance of deployed services.
- Ability to work cross-functionally with product data science engineering and operations teams.
- Strong understanding of hyper-scale cloud platforms (AWS Azure GCP).
- Track record of delivering complex solutions for enterprise customers.
Education
- Bachelors or Masters degree in Computer Science Engineering Data Science or a related technical field.
- Minimum 7 years of experience leading fast-paced engineering/product teams.
- 5 years in developing and operating SaaS products in cloud environments.
- 3 years of hands-on experience with AI/ML technologies especially in search architectures and services.
- Excellent oral and written communication skills.
Required Experience:
Manager
Job Summary The Senior Manager AI and Generative AI Services will lead a high-performing engineering team to design develop and deploy cutting-edge AI solutions. This role demands deep expertise in cloud platforms AI/ML technologies and search architectures. The manager will drive technical strateg...
Job Summary
The Senior Manager AI and Generative AI Services will lead a high-performing engineering team to design develop and deploy cutting-edge AI solutions. This role demands deep expertise in cloud platforms AI/ML technologies and search architectures. The manager will drive technical strategy ensure alignment with business goals and foster innovation across global teams while maintaining high standards of scalability performance and reliability.
- Lead the technical vision and strategy. Ensure alignment with business objectives.
- Oversee the end-to-end development deployment and operation. Ensure security availability operations scalability and performance.
- Collaborate with cross-functional teams including product management engineering leadership data science and operations to deliver high-quality solutions.
- Stay current and foster adoption of advancements in AI/ML generative and agentic AI and cloud technologies.
- Mentor hire and grow a global development services team. Foster a culture of technical excellence and innovation
Job Requirements
- Proven ability to define and execute technical vision aligned with business objectives.
- Experience mentoring hiring and growing global development teams.
- Skilled in managing risks identifying bottlenecks and resolving technical challenges.
- Experience in ensuring security scalability and performance of deployed services.
- Ability to work cross-functionally with product data science engineering and operations teams.
- Strong understanding of hyper-scale cloud platforms (AWS Azure GCP).
- Track record of delivering complex solutions for enterprise customers.
Education
- Bachelors or Masters degree in Computer Science Engineering Data Science or a related technical field.
- Minimum 7 years of experience leading fast-paced engineering/product teams.
- 5 years in developing and operating SaaS products in cloud environments.
- 3 years of hands-on experience with AI/ML technologies especially in search architectures and services.
- Excellent oral and written communication skills.
Required Experience:
Manager
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