Platform Engineer - AI Platforms HAI

Job Description

The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Platform Engineer - AI Platforms to join our Platform Engineering team within the Digital Foundation division under the CTO Organization. In this critical technical leadership role, you will spearhead the design, development, and maintenance of our internal platform products, supporting advanced AI and automation initiatives across our global organization. Our Platform Engineering team empowers upstream contributors (developers, data scientists, analysts) and downstream teams (Site Reliability Engineers, Operations) by delivering robust, scalable, and secure cloud-native platforms and tooling. Youll lead architectural decisions and hands-on engineering of cloud infrastructure and backend services, supporting platforms that leverage state-of-the-art Generative AI technologies (LLMs, RAG, AI Agents). This is a strategic opportunity to apply your extensive technical expertise and leadership skills, significantly impacting innovation acceleration within the pharmaceutical industry. What will you do in this role Lead the design, development, and implementation of backend software and platform services, ensuring scalability, reliability, and maintainability. Architect, deploy, and manage secure and scalable cloud-native infrastructure, primarily utilizing AWS and occasionally Azure, to meet enterprise-level platform requirements. Drive Infrastructure-as-Code (IaC) best practices using Terraform, ensuring reproducibility, efficiency, and compliance across cloud environments. Own end-to-end Continuous Integration and Continuous Deployment (CI/CD) strategy using GitHub Actions, Argo CD, and related DevOps tools to enhance automation, reliability, and observability. Collaborate closely with AI development teams, facilitating the deployment, scaling, and integration of large language models (LLMs), retrieval-augmented generation (RAG) techniques, and AI agents into our production environment. Implement containerization strategies with Docker and manage large-scale deployments and orchestration using Kubernetes (Amazon EKS), ensuring high availability, performance optimization, and resource efficiency. Develop and refine deployment automation scripts, Helm charts, and other YAML-based configuration templates to streamline and standardize Kubernetes management. Mentor junior and mid-level engineers, driving best practices in platform engineering, software development, infrastructure management, and DevOps methodologies. Collaborate proactively with cross-functional stakeholders (Development, Project Management, SRE, Operations) to identify, troubleshoot, and resolve complex technical challenges, ensuring platform health and exceptional user experience. What should you have 8+ years of progressive professional experience in cloud platform engineering, software engineering, or a related technology leadership role. Proven expertise designing and deploying large-scale cloud-native architectures primarily on AWS, including deep knowledge of compute, storage, networking, security, and observability solutions. Extensive experience with containerization technologies (Docker) and orchestrating production-grade systems using Kubernetes, particularly with Amazon EKS. Expert-level proficiency with Infrastructure-as-Code tools, especially Terraform (HCL), for managing complex, multi-account cloud environments. Demonstrable leadership in building robust, automated CI/CD pipelines using GitHub Actions, Argo CD, or similar tooling. Strong software development and scripting skills in languages such as Python, Go, JavaScript, or Bash, and mastery of YAML and Helm for Kubernetes management. Comprehensive understanding of networking fundamentals in cloud environments (VPC, subnet design, security groups, load balancing). Preferred Experience architecting and managing multi-cloud infrastructure across AWS and Microsoft Azure. Prior exposure or direct experience deploying and managing Generative AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and integrating these into enterprise-grade platforms. Familiarity with compliance, security, and best practices specific to highly regulated industries (e.g., healthcare, pharmaceutical).