Head of AI

# Head of AI - Healthcare - IC ## Company Overview *Information about the company, its industry, and culture are not specified.* ## Job Summary The **Head of AI** will lead AI initiatives focused on delivering real-time, intelligent, and secure healthcare solutions. This role is pivotal in architecting and owning the roadmap for AI systems while ensuring excellence in scalable infrastructure and DevSecOps practices. ## Responsibilities - Lead the design, development, and deployment of AI/ML systems from model research and development to production deployment and performance monitoring. - Architect AI services utilizing Python, LangGraph, CrewAI, and modern microservices principles. - Establish and scale MLOps pipelines to support AI initiatives. - Define and enforce DevSecOps practices across AI systems to ensure robust security, compliance, and monitoring. - Build integrations between backend systems and Agentic AI frameworks such as LangChain, LangGraph, CrewAI, or similar tools. - Architect service flows to manage LLM orchestration, memory, vector search, and agent coordination. - Mentor a growing team of AI/ML engineers while defining best practices in AI experimentation, evaluation, and deployment. - Drive innovation in healthcare NLP, real-time prediction engines, recommendation systems, and personalized care workflows. - Own end-to-end observability and performance tuning for all AI/ML services deployed in production. ## Qualifications - **Education**: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degrees (Masters/PhD) preferred. - 10+ years of experience in software engineering, with at least 5+ years leading AI/ML or MLOps functions. - Hands-on experience with microservices, RESTful APIs, and event-driven architecture. - Familiarity with Agentic AI frameworks like LangChain, LangGraph, AutoGen, or similar technologies. - Experience working with Large Language Models (LLMs), vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS), and memory persistence layers. - Experience with cloud platforms (AWS, GCP, or Azure) and foundational DevOps practices (CI/CD, Docker, Kubernetes). ## Preferred Skills - Knowledge of AI frameworks such as OpenAI, Anthropic, HuggingFace, or fine-tuned open-source LLMs (e.g., Mistral, Mixtral, LLaMA). - Exposure to streaming architectures and WebSocket or gRPC-based communication patterns. - Experience in building or deploying AI-powered agents for automation tasks or decision-making systems. - Contributions to open-source AI or workflow automation projects may be advantageous. ## Experience - A minimum of **10+ years** of overall experience in software engineering, with **5+ years** specifically in leadership roles related to AI/ML or MLOps. ## Environment - *Information regarding the work environment, location (remote, in-office, hybrid), and physical conditions are not specified.* ## Salary *Salary information is not specified.* ## Growth Opportunities *Opportunities for career advancement and personal growth within the company are outlined, emphasizing a high-ownership role and influence over technical architecture and organizational AI strategy.* ## Benefits - High-ownership role influencing AI-driven healthcare in India. - Opportunity to impact both technical architecture and overall AI strategy of the organization. - Agile and dynamic work environment with visible impact. - A company culture that values empathy, excellence, and execution.