Job Title

Company: AccuData Analytics Pvt. Ltd.Domain: US Healthcare, RPM, CCM, Digital HealthLocation: Delhi NCR, Hybrid or Remote IndiaExperience: 6–10+ Years, AI, ML, LLM EngineeringRole Overview  AccuData Analytics is hiring a Senior AI / LLM Architect to design and build a secure, private, in-house Large Language Model for a US healthcare platform. This role focuses on owning the intelligence layer, protecting sensitive healthcare data, and enabling AI systems that continuously improve using proprietary datasets.You will work on LLM architecture, fine-tuning pipelines, AI agents, and secure inference systems, tightly integrated into a modern cloud-native healthcare platform.Key Responsibilities  Design and implement a private, in-house LLM architecture without dependency on public LLM APIs.Build fine-tuning and continual learning pipelines using proprietary and de-identified healthcare data.Architect secure inference, retrieval-augmented generation, and AI agent frameworks.Ensure HIPAA-aligned data handling, audit ability, and AI safety controls.Partner with product, clinical, and engineering teams to convert workflows into AI-driven automation and decision support.Define model governance, evaluation metrics, versioning, and feedback loops for continuous improvement.Optimize model performance, latency, reliability, and cost for production healthcare workloads.Collaborate with cloud and DevOps teams on GPU workloads, Kubernetes orchestration, and MLOps pipelines.Produce clear technical documentation, architecture diagrams, and AI design standards.Required Skills and Experience  6–10+ years of experience in AI or ML engineering, with strong focus on LLMs or NLP systems.Hands-on experience training, fine-tuning, or adapting open-source LLMs such as LLaMA, Mistral, Falcon, or similar.Strong understanding of RAG architectures, embeddings, vector databases, and prompt-to-pipeline design.Proficiency in Python with PyTorch or TensorFlow.Experience deploying ML systems on AWS using services such as EC2 GPU, SageMaker, EKS, and S3.Strong system-design skills for scalable, production-grade AI platforms.Excellent communication and technical documentation skills.Preferred Experience  Experience in US healthcare platforms, RPM, CCM, or regulated data environments.Exposure to AI agents, workflow automation, or decision-support systems.Experience with Kubernetes, Docker, and CI/CD for ML systems.Knowledge of AI safety, hallucination reduction, explainability, and model evaluation.Prior experience building long-running AI systems that improve through feedback loops.Why Join Us  Build a foundational private healthcare LLM with real-world impact.Work on compliance-first, high-trust AI systems.High-ownership role with direct leadership visibility and strategic influence.Opportunity to define AI architecture standards and long-term roadmap.Competitive compensation with startup agility and long-term growth potential.Hybrid work model with collaboration across India and US teams.About AccuData Analytics  AccuData Analytics Pvt. Ltd. partners with US healthcare organizations to build secure, scalable, and AI-driven digital health platforms, with deep expertise in cloud, data, AI, and healthcare compliance-first engineering.