Gen AI Architect

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

• 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, Lang Chain/Llama Index, 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)

• 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