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Mid-level, metro role with broad AI/cloud requirements at a strong global brand increases applicant competition.
Core AI and cloud engineering skills are transferable across industries, though life-sciences experience is beneficial.
Explicit 4–6 years and many mandatory AI/cloud/DevOps skills indicate high shortlisting strictness.
Design, build, deploy, and support AI-enabled business solutions including AI assistants, agents, copilots, and intelligent workflow automation to simplify processes and improve decision-making.
Build and implement Retrieval Augmented Generation (RAG) architectures using enterprise data to deliver trusted answers and ensure compliance.
Provision, configure, and manage AWS cloud infrastructure using Infrastructure as Code (Terraform); automate CI/CD pipelines and maintain platform reliability and security with a focus on observability, incident remediation, and governance.
Bachelor’s or master’s degree or equivalent experience in Computer Science, IT, Software Engineering, Cloud Computing, AI, or related field.
4–6 years of relevant experience in Cloud Engineering, Platform Engineering, DevOps, Software Engineering, Integration Engineering, or Solution Engineering.
Hands-on experience with AWS cloud services, Terraform, and developing business applications/APIs using Python, Java, JavaScript/TypeScript, or similar.
Good understanding and experience with Generative AI, Large Language Models, Prompt Engineering, AI Agents, RAG architectures, and related AI technologies such as Amazon Bedrock, LangChain, Semantic Kernel, MCP.
Experienced engineer capable of delivering end-to-end AI and cloud-native solutions using modern DevOps and infrastructure automation practices in enterprise environments.
Technical expertise in both cloud infrastructure (AWS + Terraform) and AI solution development integrating with enterprise SaaS platforms and data services via APIs.
Comfortable working in regulated or compliance-heavy domains, familiar with security-by-design, data governance, and Responsible AI principles with ability to translate requirements into scalable, compliant solutions.