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Strong employer brand and metro Hyderabad location increase competition, though GenAI specialization narrows the candidate pool.
Core GenAI and infra skills transfer broadly, but pharma regulatory and clinical requirements increase domain sensitivity.
Many specific GenAI, infra, AWS, security, and regulatory requirements create strict technical shortlisting filters.
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Design, deploy, and scale multi-agent AI orchestration systems for automating complex document generation workflows using GenAI and AWS cloud services.
Develop and optimize retrieval-augmented generation (RAG) pipelines and implement robust state management, evaluation metrics, and security controls for AI agent networks.
Collaborate across teams to document and share reusable components and best practices, ensuring scalable, compliant, and secure AI-driven outputs.
Demonstrated experience leading small to medium ambiguous technical initiatives and mentoring others.
Advanced skills in GenAI development including prompt engineering, fine-tuning, RAG and agentic frameworks such as LangChain and AutoGen.
Proficiency with AWS services including Amazon Bedrock, SageMaker, OpenSearch, and Step Functions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in architecting complex AI agent workflows in cloud environments with a focus on scalability, security, and compliance.
Strong background in integrating diverse vector databases, LLM serving infrastructure, and agent communication protocols.
Familiarity with clinical trial standards and regulatory frameworks (e.g., CDISC, ICH guidelines) is advantageous but not mandatory.