1 hour ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect and develop scalable AI platforms supporting healthcare-specific large language model applications.
- Build AI pipelines for structured and unstructured healthcare data, including FHIR, HL7, clinical notes, and claims data.
- Develop domain-specific AI architectures for clinical decision-making, revenue cycle management, and patient engagement.
- Serve as the primary technical authority for AI platform development and mentor AI designers and engineers.
- Drive internal knowledge-sharing on AI trends, frameworks, and best practices.
- Implement model evaluation frameworks covering accuracy, robustness, and fairness.
- Ensure compliance with HIPAA, HITRUST, healthcare privacy, and data-security requirements.
- Partner with engineering teams to move research prototypes into production.
Requirements
- Master’s degree in Computer Science, AI, Machine Learning, or a related field plus 10+ years of AI/ML platform development experience, or 15+ years of AI/software engineering experience with 10+ years building AI/ML platforms.
- Proficiency in Python and modern machine-learning libraries.
- Experience with GenAI, LLMs, transformer architectures, and advanced model routing.
- Experience with PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex.
- Deep experience building enterprise RAG systems, including chunking, hybrid search, vector databases, and retrieval optimization.
- Hands-on experience with autonomous AI agents, Agent-to-Agent communication, Model Context Protocol, and multi-agent orchestration.
- Advanced experience with agent context management, stateful memory, caching, and long-running agent contexts.
- Experience with observability, logging, scalable systems, and LLM/agent tracing.
- Strong experience with cloud platforms, on-premises deployments, MLOps/LLMOps, Kubernetes, and Terraform.
- Experience with knowledge graphs, NoSQL/SQL databases, vector databases, GraphRAG, and hybrid retrieval architectures is preferred.
- Familiarity with LangGraph, AutoGen, CrewAI, and Semantic Kernel is preferred.
- Experience deploying non-deterministic LLM and multi-agent systems to highly available production environments is preferred.
- Experience with Ragas, TruLens, and LLM-as-a-Judge evaluation approaches is preferred.
- Knowledge of LoRA, PEFT, model distillation, AI guardrails, prompt-injection defenses, and output validation is preferred.
Benefits
- Hybrid work arrangement in Bangalore, India.
- Up to 20% domestic travel.
- Solventum offers programs supporting physical and financial well-being.
- Solventum regularly benchmarks pay and benefits against comparable companies.