AI Architect/AI Engineer – Generative & Agentic AI
Core
Lead architecture, design, and delivery of enterprise-scale Generative and Agentic AI solutions, including system design, POC/MVP delivery, and technical governance.
Role type
Senior hands-on AI Architect (Generative & Agentic AI)
Builds
Scalable AI platforms, API-first architectures, and production-grade AI systems for healthcare distribution and specialty pharmacy.
Domain
Healthcare (Healthcare distribution, specialty pharmacy, EMR/EHR systems)
Deliverable
production ML models
Required skills
Generative AI architecture, Agentic AI systems, LLM orchestration, RAG pipelines, Vector databases, MLOps/LLMOps, Cloud-native AI services, Python, API design (REST/GraphQL), AI governance
Preferred skills
Autonomous agent state management, Model Context Protocol (MCP), AI observability/evaluation tooling, Consulting experience, NL-to-SQL, Knowledge graphs, GraphRAG
Technologies
Databricks, Unity Catalog, Delta Lake, Azure AI Foundry, LangGraph, AutoGen, Semantic Kernel, Pinecone, FAISS, pgvector, Anthropic Claude, OpenAI, Google Vertex AI, Docker, Kubernetes
Responsibilities
Own end-to-end architecture for enterprise AI solutions; Lead rapid POC and MVP development; Architect scalable AI platforms leveraging LLMs and multi-agent frameworks; Design API-first architectures; Define technology selection and AI governance standards; Architect and guide MLOps/LLMOps practices; Mentor AI engineers and set coding standards; Evaluate and select cloud-native AI services.
Seniority
Senior, hands-on IC with mentorship responsibilities
