Planning Deployment and Implementation Team Leader

2 weeks ago

Pune, India Geektrust Full time

Join a fast-growing health-tech company that’s reimagining primary care for the modern world. As the Lead AI/ML Architect , you’ll design and build next-gen Agentic AI systems that enable clinical teams to deliver smarter, value-based healthcare. You’ll lead the architecture for multi-agent orchestration, RAG pipelines, and LLM-driven reasoning frameworks—shaping how millions experience care. The company recently raised $6 million in funding to scale its AI-first care platform , unifying providers, patients, and workflows across the U.S. healthcare system. You’ll collaborate with top engineers and data scientists to turn AI innovation into real-world healthcare impact —from automating clinical tasks to enhancing care quality and outcomes. Years of experience: Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases.  planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).  Collaborate with product managers, data engineers, and designers to align AI Manage end-to-end AI lifecycle — data ingestion, fine-tuning, evaluation, deployment, and monitoring on Vertex AI / AWS Bedrock / Azure OpenAI .  Lead scrum ceremonies , sprint planning, and backlog prioritization for the AI team.  requirements, gather feedback, and translate insights into scalable AI solutions.  Ensure compliance with HIPAA, PHI safety , and responsible AI governance Contribute to hiring, mentoring, and upskilling the AI engineering team. Deep expertise in LLMs, RAG, and Agentic AI architectures , including multi- agent planning and task orchestration. Hands-on experience with LangChain, LangGraph, CrewAI, or Semantic Kernel .  Strong proficiency in Python , cloud-native systems, and microservice-based deployments.  Proven track record of leading AI projects from concept to production , including performance optimization and monitoring.  Experience working with healthcare data models (FHIR, HL7, clinical notes) or Experience leading agile/scrum teams , with strong sprint planning and delivery Deep understanding of prompt engineering , LLM evaluation , and hallucination Strong leadership, mentorship, and people management abilities.  Excellent written and verbal communication for both technical and non-technical Adaptability to fast-changing AI technologies and ability to evaluate new tools Empathy for end-users and a commitment to responsible AI in healthcare . Experience leading AI platform initiatives or building internal AI tooling.  LLM systems.  Knowledge of multi-modal AI (text + structured + image data).  Prior experience integrating AI into production SaaS platforms or healthcare

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