Senior Consultant

Job Title Senior Consultant - AI DevOps Engineer - AI Platforms Career Level D2 Introduction to role Are you ready to redefine the future of technology in healthcare As a Senior Consultant - AI DevOps Engineer at AstraZeneca you ll be at the forefront of embedding AI across our value chain from discovering novel compounds to enhancing patient safety and optimizing commercial outcomes Our Enterprise AI organization is committed to delivering Connected Intelligence Reusable AI and AI Platforms In this role you ll go beyond traditional support to build operate and continuously improve production-grade AI platforms and pipelines You ll be the first responder for incidents and service requests designing and automating infrastructure deployment workflows observability and governance guardrails Collaborate with multidisciplinary engineers data scientists ML engineers and platform engineers to advance healthcare for millions of patients Are you ready to make a difference Accountabilities Platform Engineering Reliability Build and operate AWS-based AI platform services including Kubernetes GPU workloads storage networking service mesh Own SLA SLOs capacity planning cost optimization and performance tuning for AI workloads MLOps CI CD Design and implement end-to-end CI CD for ML systems data models services including feature stores model registries artifact version management and automated model deployment to batch streaming and real-time endpoints Automation Infrastructure as Code Create reproducible environments with Infrastructure as Code e g Terraform CloudFormation CDK Automate environment provisioning cluster upgrades dependency management and blue green or canary deployments Observability Incident Response Implement logging metrics tracing model data drift monitoring and alerting Lead L1-L3 incident response root cause analysis and postmortems Continuously improve runbooks and self-healing mechanisms Security Compliance Governance Partner with Cyber Security Data Privacy and internal governance to implement guardrails identity secrets encryption vulnerability management Scalability Performance Optimize distributed training inference across GPU multicore SMP and distributed clusters Guide ML engineers on parallelization resource quotas and cost performance trade-offs Operational Excellence Champion a production-first attitude and streamline pathways for exploratory research to production through golden paths templates and platform enablement Collaboration Enablement Work closely with Connected Intelligence Reusable AI and AI Platforms teams Provide training documentation and developer experience improvements Essential Skills Experience Education B Tech M Tech in Computer Science Engineering or a related quantitative field Cloud Expertise 5-7 years of hands-on experience with AWS or equivalent cloud including core services compute storage networking IAM and cost management AI Platform experience Experience with provisioning and managing enterprise AI platforms Databricks Domino etc at scale is a plus Kubernetes at Scale 5-7 years working with Kubernetes and containerized applications 5 years administering production clusters with understanding of operators storage classes GPU scheduling and autoscaling Programming 3 years building and delivering software in Python strong skills in another language e g Go Java are valued Ability to write robust testable and observable services Infrastructure as Code Automation 3 years implementing Terraform CloudFormation CDK GitOps workflows e g Argo CD Flux and CI CD systems e g GitHub Actions GitLab CI Jenkins MLOps Tooling Experience with ML orchestration and model lifecycle tools e g MLflow Kubeflow Familiarity with feature stores model registries A B testing and shadow deployments for ML Observability Proficiency with Prometheus Grafana ELK OpenSearch and incident management Security Compliance Experience implementing security controls secrets management KMS encryption RBAC and aligning to internal security standards GxP experience is a plus Agile ITIL Comfortable working in Agile teams experience in support environments or ITIL is beneficial with a strong focus on automation over manual operations DevOps Perspective Demonstrated use of DevOps practices to enable automation strategies improve developer experience and reduce time-to-production Soft Skills Creative collaborative resilient with excellent communication and the ability to translate complex technical topics for diverse stakeholders Desirable Skills Experience Data Streaming Experience with Spark Databricks Kafka Kinesis and scalable data pipelines GenAI LLM Ops Familiarity with LLM serving prompt response safety retrieval-augmented generation RAG vector databases and token-aware scaling Cost Optimization Rightsizing spot fleet strategies and chargeback showback practices When we put unexpected teams in the same room we ignite bold thinking with the power to inspire life-changing medicines In-person working gives us the platform we need to connect work at pace and challenge perceptions That s why we work on average a minimum of three days per week from the office But that doesn t mean we re not flexible We balance the expectation of being in the office while respecting individual flexibility Join us in our unique and ambitious world At AstraZeneca your work directly impacts patients by transforming our ability to develop life-changing medicines We empower the business to perform at its peak by combining pioneering science with leading digital technology platforms Join us at a crucial stage of our journey as we become a digital and data-led enterprise With a passion for impacting lives through data analytics and AI technologies like machine learning there s no better time to join us Ready to make an impact Apply now to be part of our innovative team Date Posted 11-Nov-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industry-leading skills We believe that the more inclusive we are the better our work will be We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics We comply with all applicable laws and regulations on non-discrimination in employment and recruitment as well as work authorization and employment eligibility verification requirements