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
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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
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