AI Engineer- Data & AI

About the Role We are looking for a seasoned data engineer with extensive experience in AI platforms and analytics to join our team. The ideal candidate will have a strong background in designing and operating AI-enabled platforms, as well as a proven track record of managing end-to-end data and content lifecycles. Required Qualification- 10+ years in data engineering, AI platforms, analytics, or large-scale content systems 5+ years designing or operating AI-enabled platforms on AWS, GCP Advanced Python skills, including building production-grade web services (e.g. FastAPI, Flask) Excellent SQL skills and experience supporting low-latency and analytical workloads Proven ownership of end-to-end data and content lifecycles Hands-on experience implementing automation-first and AI-assisted workflows, reducing manual intervention Experience working with global, distributed teams and enterprise-scale data environments Experience supporting multiple products or domains concurrently in a matrix environment Direct engagement with senior stakeholders to translate business problems into AI-enabled data capabilities Comfort owning systems in production, including monitoring, incident response, and performance tuning Qualifications Bachelor's or Master's degree in: Computer Science Data Science Statistics Mathematics Engineering Related discipline Required Skills Experience in regulated, compliance-driven or data-intensive environments (financial services, consulting, healthcare, telecom, energy, or global enterprises) Exposure to content management, document intelligence, or unstructured data analytics Experience embedding analytics into products, platforms, or client-facing services Preferred Skills Experience building data-backed APIs with authentication, authorization, and rate limiting Familiarity with infrastructure-as-code (Terraform, CDK, or CloudFormation) Exposure to ML-adjacent workloads (feature generation, offline training data) Experience with schema evolution and data versioning in product environment About the Role We are looking for a seasoned data engineer with extensive experience in AI platforms and analytics to join our team. The ideal candidate will have a strong background in designing and operating AI-enabled platforms, as well as a proven track record of managing end-to-end data and content lifecycles. Required Qualification- 10+ years in data engineering, AI platforms, analytics, or large-scale content systems 5+ years designing or operating AI-enabled platforms on AWS, GCP Advanced Python skills, including building production-grade web services (e.g. FastAPI, Flask) Excellent SQL skills and experience supporting low-latency and analytical workloads Proven ownership of end-to-end data and content lifecycles Hands-on experience implementing automation-first and AI-assisted workflows, reducing manual intervention Experience working with global, distributed teams and enterprise-scale data environments Experience supporting multiple products or domains concurrently in a matrix environment Direct engagement with senior stakeholders to translate business problems into AI-enabled data capabilities Comfort owning systems in production, including monitoring, incident response, and performance tuning Qualifications Bachelor's or Master's degree in: Computer Science Data Science Statistics Mathematics Engineering Related discipline Required Skills Experience in regulated, compliance-driven or data-intensive environments (financial services, consulting, healthcare, telecom, energy, or global enterprises) Exposure to content management, document intelligence, or unstructured data analytics Experience embedding analytics into products, platforms, or client-facing services Preferred Skills Experience building data-backed APIs with authentication, authorization, and rate limiting Familiarity with infrastructure-as-code (Terraform, CDK, or CloudFormation) Exposure to ML-adjacent workloads (feature generation, offline training data) Experience with schema evolution and data versioning in product environment