Senior Consultanr - AI Cloud Engineer

Job Description

Job Title: Senior Consultant - AI Cloud Engineer Career Level: D2 Introduction to role: Are you ready to tackle some of the most exciting machine-learning challenges in drug discovery? We are seeking a Senior AI Platform Engineer to join our innovative AI platform team, IGNITE. With your expertise in AWS cloud environments, youll design and deploy large-scale production infrastructure that will redefine healthcare and improve the lives of millions worldwide. As part of a close-knit team of technical specialists, youll create tools that support major AI initiatives, from clinical trial data analysis to imaging and Omics. Your role will be pivotal in providing frameworks for data scientists to develop scalable machine learning models safely and robustly. Are you prepared to bridge the gap between science and engineering with your deep expertise? Accountabilities: Design, implement, and manage cloud infrastructure on AWS using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Maintain and enhance CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, Jenkins, or ArgoCD. Ensure platform reliability, scalability, and high availability across development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python, Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. Integrate AWS Bedrock to provide foundation model access for generative AI applications, ensuring security and cost control. Lead and publish curated infrastructure templates through AWS Service Catalogue to enable consistent and compliant provisioning. Collaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimization. Implement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring and alerting. Support container orchestration environments using EKS (Kubernetes), ECS, or Fargate. Contribute to incident response, post-mortems, and continuous improvement of the platform s operational excellence. Essential Skills/Experience: Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of hands-on experience with AWS cloud services. Strong experience with Terraform, AWS CDK, or CloudFormation. Proficiency in Linux system administration and networking fundamentals. Solid understanding of IAM policies, VPC design, security groups, and encryption. Experience with Docker and container orchestration using Kubernetes (EKS preferred). Hands-on experience with CI/CD tools and version control (Git). Experience with monitoring, logging, and alerting systems. Strong solving skills and ability to work independently or in a team. Desirable Skills/Experience: AWS Certification (e.g., AWS Certified DevOps Engineer, Solutions Architect - Associate/Professional). Experience with serverless technologies like AWS Lambda, Step Functions, and EventBridge. Experience supporting machine learning or big data workloads on AWS. Experience with SAFe agile principles and practices.