Senior Ai Platform Engineer

Experteer Overview No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.Senor AI Platform Engineer at AstraZeneca leads the strategy for enterprise-scale AI compute across multi-cloud environments.You will shape how compute resources are provisioned, governed, and scaled to support AI initiatives from drug discovery to patient safety.This role combines technical leadership with hands-on delivery to drive cost-efficient, compliant compute platforms.You will work with cross-functional teams to enable impactful AI workloads while advancing sustainability and governance by design.Compensaciones / Beneficios* Design and deliver multi-cloud AI compute services with built-in security and compliance* Orchestrate AI compute capacity planning, provisioning, and optimisation across clouds* Evaluate and propose sustainable, cost-effective compute strategies* Embed AI/ML Ops practices across platforms for deployment, monitoring, and lifecycle management* Operate with a product mindset: roadmaps, SLAs, and enablement programs to drive adoption* Reduce operational complexity to free delivery teams for innovation* Provide technical leadership, mentor juniors, and shape strategic direction* Collaborate with data scientists, ML engineers, and platform teams to meet compute needs* Work with governance and compliance functions to secure compute without hindering productivityResponsabilidades* BSc/MSc/Ph.D.in Computer Science or related quantitative field* Extensive experience with AWS, Azure, GCP or similar multi-cloud environments at enterprise scale* Deep AI/ML compute infra expertise (GPU provisioning, distributed training, HPC)* Proficiency with Infrastructure as Code xqbhyrx (Terraform, CloudFormation)* Strong MLOps experience - pipelines for deployment, monitoring, lifecycle management* Cloud compute cost management and sustainability-focused strategies* Product-minded approach to platform services (roadmaps, SLAs, support models)* DevOps experience to enable automation and reduce complexity* Experience with security standards in medical/pharmaceutical contexts* Proven technical leadership, mentoring, and strategic direction* Creativity, collaboration, and resilienceRequisitos principales*

You will work with cross-functional teams to enable impactful AI workloads while advancing sustainability and governance by design.Compensaciones / Beneficios* Design and deliver multi-cloud AI compute services with built-in security and compliance* Orchestrate AI compute capacity planning, provisioning, and optimisation across clouds* Evaluate and propose sustainable, cost-effective compute strategies* Embed AI/ML Ops practices across platforms for deployment, monitoring, and lifecycle management* Operate with a product mindset: roadmaps, SLAs, and enablement programs to drive adoption* Reduce operational complexity to free delivery teams for innovation* Provide technical leadership, mentor juniors, and shape strategic direction* Collaborate with data scientists, ML engineers, and platform teams to meet compute needs* Work with governance and compliance functions to secure compute without hindering productivityResponsabilidades* BSc/MSc/Ph.D. in Computer Science or related quantitative field* Extensive experience with AWS, Azure, GCP or similar multi-cloud environments at enterprise scale* Deep AI/ML compute infra expertise (GPU provisioning, distributed training, HPC)* Proficiency with Infrastructure as Code xqbhyrx (Terraform, CloudFormation)* Strong MLOps experience - pipelines for deployment, monitoring, lifecycle management* Cloud compute cost management and sustainability-focused strategies* Product-minded approach to platform services (roadmaps, SLAs, support models)* DevOps experience to enable automation and reduce complexity* Experience with security standards in medical/pharmaceutical contexts* Proven technical leadership, mentoring, and strategic direction* Creativity, collaboration, and resilienceRequisitos principales*