Vacancy description
Movate technology
India, Chennai
Movate - AI/ML Architect - Generative AI in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role : We are looking for an experienced AI/ML Architect with 10 - 12 years of experience in designing and implementing enterprise-scale AI/ML solutions, with strong expertise in Generative AI, Large Language Models (LLMs), RAG, and Agentic https://jobeax.com/link/sR0FjrIVq5iHpgo8 ideal candidate will be responsible for defining AI architecture, designing scalable and secure AI platforms, and translating complex business requirements into robust enterprise AI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : - Define and architect end-to-end AI/ML and Generative AI solutions aligned with enterprise business requirements.- Design scalable architectures leveraging LLMs, RAG, Agentic AI, AI agents, prompt engineering, and model orchestration.- Architect enterprise-grade Retrieval-Augmented Generation (RAG) pipelines using vector databases, Elasticsearch, embeddings, document processing, and semantic search.- Design and implement Agentic AI architectures, including multi-agent workflows, tool calling, orchestration, memory, planning, and autonomous task execution.- Evaluate and integrate foundation models and LLM platforms such as Azure OpenAI and AWS Bedrock.- Develop scalable AI services and APIs using Python and FastAPI.- Design AI/ML solutions using cloud-native services across Azure and AWS.- Architect and optimize Vector Database solutions for high-performance semantic search and retrieval workloads.- Design solutions using Elasticsearch for enterprise search, indexing, retrieval, and AI-powered applications.- Establish architecture standards for LLMOps/MLOps, model lifecycle management, monitoring, evaluation, observability, and deployment.- Design secure AI platforms addressing data privacy, access control, encryption, authentication, authorization, model security, prompt injection, data leakage, and AI-specific threats.- Drive implementation of Responsible AI principles, including explainability, transparency, fairness, governance, safety, and human oversight.- Ensure AI solutions comply with applicable healthcare and enterprise standards, including HIPAA, FHIR, and X12/EDI where relevant.- Design containerized AI workloads using Docker and Kubernetes.- Architect highly available, scalable, resilient, and cost-optimized cloud infrastructure for AI/ML workloads.- Collaborate with data scientists, ML engineers, software engineers, DevOps teams, security teams, and business stakeholders to deliver production-grade AI solutions.- Conduct technical evaluations of emerging AI technologies, frameworks, models, and platforms and recommend appropriate solutions.- Establish architecture documentation, technical standards, reusable components, and best practices for enterprise AI adoption.- Provide technical leadership and mentorship to engineering and AI/ML https://jobeax.com/link/tHimJJWnl73Dwmn0 Stack : - Generative AI, LLM, RAG, Agentic AI, Python, FastAPI, Azure OpenAI, AWS Bedrock, Vector Databases, Elasticsearch, Kubernetes, Docker, Cloud Architecture, MLOps/LLMOps.Required Skills & Expertise : - Strong hands-on experience with Generative AI and Large Language Models (LLMs).- Proven experience designing enterprise-scale AI/ML architectures from concept through production.- Strong proficiency in Python and FastAPI.- Experience with Vector Databases, Elasticsearch, and Cloud Architecture (Azure/AWS).- Strong understanding of Enterprise AI Security, Responsible AI, and healthcare standards (HIPAA, FHIR).Preferred Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.- 10 - 12 years of overall experience in software engineering, AI/ML, data engineering, or solution architecture.- Strong communication, stakeholder management, architectural documentation, and technical leadership skills. (ref:hirist.tech)
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