Jobs / India / Astrazeneca Pharmaceuticals Lp
AI & Cloud Solutions Engineer
Astrazeneca Pharmaceuticals Lp · 🌍 India - Chennai
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About the role
GCL: C2 Introduction to role: Are you ready to turn enterprise AI into practical outcomes that streamline how we operate and ultimately improve patients’ lives? Do you thrive at the intersection of AI engineering, cloud platforms, and DevOps automation, where ideas move quickly from prototype to production with the right guardrails? In this role, you will join a high-performing, digitally savvy team that partners across the enterprise to deliver AI assistants, agents, copilots, and intelligent workflow automation. You will work with tools like Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP, and AWS services. You will build secure and scalable solutions that unlock data value and simplify complex processes. You will be empowered to spot opportunities, take balanced risks, and shape solutions that make a measurable difference. Your engineering will help accelerate our evolution, from improving how we handle information to creating smarter ways of working for colleagues across the business. Accountabilities: AI Solution Engineering: Design, build, deploy, and support AI-enabled business solutions, assistants, agents, copilots, and intelligent workflow automation that simplify processes and elevate decision-making. RAG Architectures: Build and implement Retrieval Augmented Generation solutions using enterprise knowledge and business data to provide trusted answers and speed compliance-ready work. Enterprise AI Platforms: Evaluate and leverage Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP, and related services; choose architectures that balance performance, cost, and risk. Integration Engineering: Develop secure integrations between AI solutions, enterprise applications, SaaS platforms, and data services using APIs and approved integration patterns to enable end-to-end workflows. Cloud Infrastructure: Provision, configure, and manage AWS services using Infrastructure as Code (Terraform); design for resilience, security, scalability, and cost efficiency. Cloud-native Delivery: Deploy and support containerized and serverless applications across development, testing, and production environments, with strong release and observability practices. DevOps and DevSecOps Automation: Build and maintain CI/CD pipelines, infrastructure automation, and controls to improve deployment speed, reliability, and compliance. Platform Operations and Reliability: Monitor and fix production systems, lead incident remediation, implement SLOs and telemetry, and drive continuous platform improvements. Security, Data Governance, and Responsible AI: Embed security-by-design, guardrails, and audit ability; operationalize data governance and Responsible AI principles. Documentation and Standards: Create user documentation, reusable patterns, engineering standards, and solution governance controls for consistent, repeatable delivery. Partnering and Influence: Collaborate with product owners, architects, and business stakeholders; translate requirements into practical technology solutions and guide the roadmap from MVP to scale. Essential Skills/Experience: • Bachelor’s or master’s degree or equivalent experience in computer science, IT, Software Engineering, Cloud Computing, AI, or a life sciences subject area, with 4–6 years of relevant experiences in IT • Experience in Cloud Engineering, Platform Engineering, DevOps, Software Engineering, Integration Engineering, or Solution Engineering. • Experience developing business applications, APIs, or integration solutions. • Hands-on experience with AWS cloud services and terraform. • Experience developing applications using one or more of Python, Java, JavaScript/TypeScript, React, or similar technologies and modern development frameworks. • Experience building REST APIs and backend