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Tier-1 brand, metro location, mid-level cloud role with broad skills and popular title drives high competition.
Cloud and GenAI skills transfer well, though pharma governance and compliance increase domain sensitivity moderately.
Explicit 5+ years, cloud/AWS and Generative AI expertise make shortlisting highly selective.
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Lead design and implementation of Generative AI applications and LLM workflows across business domains, including prompt engineering and model governance.
Own technical roadmap, architecture decisions, and delivery of GenAI and cloud-native projects using AWS, Azure, or Google Cloud services.
Mentor software engineers, collaborate with data scientists and cloud engineers, and ensure security, scalability, and high-quality delivery.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 5 years experience in development focusing on cloud computing.
Strong programming skills in Python, Java, or Node.js, plus experience with AWS services like EC2, Lambda, S3, RDS, CloudFormation.
Knowledge of cloud architecture, security principles; experience with containerization (Docker, Kubernetes) is a plus.
Experienced in leading Generative AI and LLM projects with cross-functional collaboration in cloud environments.
Proven ability to manage technical roadmaps, architecture decisions, and mentor teams in agile settings.
Strong skills integrating cloud-native AI services and building reusable, scalable APIs and developer tools.