Platform Data Engineer – AWS, DevOps & Agentic AI

Platform Data Engineer – AWS, DevOps & Agentic AI Duration: 6-Month Contract (Potential Extension) Overview We are seeking a hands-on Platform Data Engineer to support the deployment and operation of AI, Generative AI, and Agentic AI solutions. This role requires strong expertise in AWS, DevOps, Kubernetes, Infrastructure as Code, and Python, with experience deploying AI applications in production environments. Key Responsibilities Design, build, and support cloud infrastructure on AWS. Develop and maintain CI/CD pipelines and DevOps automation. Implement and manage Infrastructure as Code (Terraform, CloudFormation, or similar). Deploy and support AI/ML, GenAI, and Agentic AI applications. Manage containerized workloads using Kubernetes. Build automation tools and platform services using Python. Collaborate with AI, data, and business teams to operationalize AI solutions. Required Qualifications 3–8 years of experience in Platform Engineering, DevOps, Cloud Engineering, or Data Engineering. Strong hands-on experience with AWS . Strong DevOps and CI/CD experience. Experience with Infrastructure as Code (IaC) . Strong Python programming skills. Hands-on experience deploying AI/ML, Generative AI, or Agentic AI solutions. Strong experience with Kubernetes and containerized environments. Pharmaceutical industry experience required. Preferred Background DevOps-heavy career progression with recent AI platform experience. Experience supporting the evolution from traditional ML models to GenAI and Agentic AI. Familiarity with MLOps, LLMOps, and cloud-native architectures. Ideal Candidate: A hands-on engineer with a strong AWS/DevOps foundation, experience deploying AI applications, and pharmaceutical industry expertise. Show more Show less