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Strong Tier-1 employer, metro Hyderabad, mid-senior cloud/GenAI role attracts many qualified applicants.
Cloud and GenAI engineering skills are transferable across industries, though pharma governance adds moderate domain specificity.
Explicit 6+ years requirement, specific cloud platform and programming skills, plus leadership expectations increase strictness.
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Lead design and implementation of Generative AI applications including prompt engineering, fine-tuning, and orchestration of LLM workflows across business domains.
Own technical roadmap, architecture decisions, and delivery of Generative AI projects, integrating cloud-native AI services and ensuring model governance, ethical AI, and compliance.
Mentor software engineers and AI practitioners; build reusable components and APIs; collaborate with data scientists and engineers to develop cloud-native microservices, APIs, and machine learning pipelines.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 6 years of development experience focused on cloud computing.
Strong expertise with cloud platforms (AWS, Azure, Google Cloud) and services (EC2, Lambda, S3, DynamoDB, API Gateway, CloudFormation).
Proficient programming skills in Python, Java, or Node.js; experience with containerization (Docker, Kubernetes) and data pipeline tools (Apache NiFi, AWS Glue, Apache Airflow) is a plus.
Experienced in leading Generative AI and large language model application development in enterprise settings with a focus on ethical AI and compliance.
Comfortable ownership of end-to-end cloud-native architecture and delivery, collaborating cross-functionally with data scientists, MLOps, and product teams.
Skilled mentor with ability to drive best practices in scalable software development, reusable tooling, and high-quality agile delivery in cloud environments.