Movate - AI/ML Architect - Generative AI in Chennai, India - Jobeax
Vacancy description
Movate - AI/ML Architect - Generative AI in Chennai, India
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)
... https://jobeax.com/link/vucdFCF5z7RxQXOS AI Engineer :Experience : 8 - 15 years of professional software engineering experience, with recent hands-on experience building LLM/Generative AI https://jobeax.com/link/exQzs3SbROYpUsGB the Role :We are looking for a Lead AI Engineer to lead the architecture, development, and productionization of ...
... robust, scalable AI architectures that significantly enhance operational efficiency and customer https://jobeax.com/link/NfKu17xn3PQ6gnFL Responsibilities :- Architect and implement end-to-end Generative AI pipelines, including RAG systems and fine-tuning frameworks, to deliver high-impact business solutions for enterprise ...
... HybridYour Future Employer : A leading global AI and analytics company working across strategic consulting, advanced analytics, data engineering, governance, MLOps and AI-powered solutions, with a strong focus on Generative AI https://jobeax.com/link/yEDVIXaeb96i6mjc : - Develop, implement and deploy ML & GenAI use cases.- ...
... with cross-functional teams to design, develop, and deploy state-of-the-art AI https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- Design, build, and optimize machine learning algorithms for generative AI applications.- ...
... with cross-functional teams to design, develop, and deploy state-of-the-art AI https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- Design, build, and optimize machine learning algorithms for generative AI applications.- ...
... computer science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based systems Strong programming skills in Python Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.) Hands-on ...
... smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models ...
... Proficiency with Amazon Bedrock, Anthropic Claude, Azure OpenAI, OpenAI, or similar AI platforms. Knowledge of AI frameworks such as Agentic AI, CrewAI, LangChain, LangGraph, MCP, RAG, and vector databases. Familiarity with MLOps responsibilities: model deployment, monitoring, and governance practices. Experience in airline ...
... Science Bachelor's degree in Data Science Bachelor's degree in AI/ML Bachelor's degree in a related technical field Responsibilities Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms Develop and maintain scalable AI/ML pipelines, data preparation ...
... consumption layers.- Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, security, ...
... practicesWhat We're Looking For : Required : - 2-7 years of software engineering experience- Strong Python programming skills- Experience working with LLMs, Generative AI, or ML systems in production- Hands-on experience with LangChain, LlamaIndex, or similar AI frameworks- Strong understanding of vector databases and semantic ...
... Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.- Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.- Streamlit - Python- Generative AI- HuggingFace, OpenAi and any Custom Model ...
... outcomes. The candidate will work closely with Solution Architects, Data Engineers, Application Developers, Product Teams, and Business Stakeholders to drive AI/GenAI initiatives from ideation through https://jobeax.com/link/rH0yu1ler9U2ioyx Responsibilities :AI / ML / GenAI Leadership :- Lead AI, ML, and GenAI implementation ...
... lead technical implementation and contribute to architecture and best https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities:- Design, develop, test, and maintain scalable applications using Python.- Develop and integrate RESTful APIs and backend services.- Lead technical implementation and ensure high-quality, maintainable ...
... Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks / Azure).In this role, you will architect, evaluate, ...
... Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks / Azure).In this role, you will architect, evaluate, ...
... 4 - 6 YearsRole Overview :We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI ...