We are seeking a Senior AI Engineer / AI Architect to lead the design, build, and production deployment of high-impact AI systems — with emphasis on Agentic AI, RAG / GraphRAG, Multimodal LLMs, and Knowledge Graph-driven intelligence.

You will own end-to-end solution architecture, mentor engineers, drive AI/ML infrastructure strategy, and partner closely with cross-functional stakeholders to deliver scalable AI products.

Responsibilities

• Design & deploy scalable end-to-end AI systems from POC to production
• Lead architecture for LLMs, RAG / GraphRAG, multimodal chat, agentic AI
• Design scalable model serving pipelines (GPU inference, low-latency optimizations)
• Build, operate, and optimize ML infrastructure on Azure / On-Prem / OpenShift / Kubernetes
• Implement automated evaluation frameworks (Evals), monitoring, explainability guardrails
• Champion modern dev workflows using PRD-based delivery, PR review, automated testing
• Mentor engineers & drive engineering excellence best practices
• Implement Knowledge Graph-based intelligence using TigerGraph / Neo4j
• Apply RL on top of clinical or complex decision workflows
• Collaborate with product, clinical & business teams to align models to requirements (FHIR/HL7)

Requirements

• Bachelor’s or Master’s in CS, Data Science, AI or related field
• 6+ years experience in AI/ML Engineering (must include production deployment)
• Strong Python & deep learning frameworks (PyTorch / TensorFlow)
• Hands-on production experience with Kubernetes, GPU inferencing
• Experience with LangChain / agentic frameworks / Multimodal pipeline orchestration
• Experience with Cloud (Azure preferred)
• Experience with CI/CD + testing for ML (pytest / unittest / pydantic)
• Knowledge Graph experience (TigerGraph / Neo4j) strongly preferred
• Reinforcement Learning exposure is a plus
• Healthcare data standards (FHIR/HL7) is a strong advantage
• Excellent communicator & mentor

ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB!