Key Roles & Responsibilities Architect end-to-end Generative AI and AI agent solutions using LLMs, RAG, and orchestration frameworks Design and optimize vector search, embeddings, and AI agent pipelines (ADK experience a plus) Evaluate and integrate LLMs, GenAI platforms, and enterprise data sources Define MLOps, CI/CD, monitoring, and scalability strategies Ensure security, governance, and compliance (HIPAA, GxP, enterprise standards) Provide technical leadership and collaborate with data science, engineering, and business teams Core Skills 12+ years in software/enterprise architecture; 8+ years in AI/ML; 4+ years in Generative AI Strong hands‑on experience with Python, APIs, microservices, cloud (AWS/Azure/GCP) Expertise in LLMs, LangChain/LlamaIndex, vector databases, RAG pipelines MLOps, CI/CD, monitoring, and scalable AI solution deployment Knowledge of security, governance, and compliance frameworks (HIPAA, GxP) Familiarity with Pharma/life sciences and agentic AI workflows (preferred) Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field Relevant certifications in AI/ML, Cloud, or Enterprise Architecture - preferred #J-18808-Ljbffr