Top Artificial Intelligence Jobs in Chennai

Lead development of GenAI and LLM-powered applications using Python, LangChain/LangGraph and FastAPI. Design scalable cloud-ready microservices, integrate LLMs (AWS Bedrock/OpenAI), implement prompt engineering, and build interactive frontends with Angular/JavaScript. Ensure AWS-based deployment and database integration (SQL/NoSQL).

Lead architecture, design, and governance for enterprise-scale AI solutions on the ServiceNow platform, implementing Now Assist, Virtual Agent, Agentic AI, predictive and task intelligence, integrations, and AI governance frameworks.

Lead end-to-end product design for web and AI-driven experiences, create high-fidelity UI and prototypes in Figma, collaborate with frontend engineers (React + Tailwind CSS), evolve the design system, conduct user testing, and integrate AI-driven interactions while working remotely with cross-functional teams.

Design and implement AI/LLM-driven data extraction and ETL pipelines, build web crawling and API integrations, implement RAG systems, mitigate LLM hallucinations, evaluate third-party tools, and collaborate with content and analytics teams to deliver high-quality, scalable data for downstream analysis.

Lead design and implementation of enterprise-scale generative AI and agentic systems. Architect multi-agent orchestration, RAG and inference pipelines, fine-tuning/quantization strategies, integrations (APIs, webhooks, connectors), and secure data/model management. Optimize deployments across cloud, edge, and on-premises while establishing evaluation, selection, and lifecycle practices.

Lead global sourcing and vendor management for HPC and sovereign AI infrastructure. Drive contract negotiations, mitigate semiconductor supply risks, align procurement roadmaps with engineering, and ensure delivery of integrated components (GPUs, NVIDIA Grace, NVLink, InfiniBand, ConnectX-8) while meeting compliance and sovereignty requirements.

Design and prototype scalable, skill-aligned technical learning experiences (primarily AI/ML, CS, Data Science). Collaborate with SMEs, vendors, and cross-functional teams to produce vendor-ready deliverables, build design systems, create robust assessments, and leverage GenAI and tooling to improve quality and scalability.

Design, build, and operate intelligent cloud platforms using automation and AI, focusing on transforming Cloud Operations into proactive software-defined platforms.

The AI Implementation Manager is responsible for managing customer onboarding, implementing solutions, and ensuring customer satisfaction in B2B environments, with a focus on technical integrations and strong communication with clients.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

The AI/ML Intern position is designed for aspirants eager to learn and grow in a remote environment, working on exciting projects.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

The AI Architect - Manager role involves defining enterprise AI solutions, guiding teams from concept to production, and collaborating across various engineering and business teams to enhance AI delivery foundations.

Design and manage AI architectures using AWS, develop cloud-native solutions, mentor teams, ensure compliance, and evaluate emerging technologies.

Seeking a Senior Data Scientist skilled in GenAI/LLMs to design and implement solutions for enterprise, conducting research and mentoring others.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The Technical Lead will design and implement advanced AI systems, lead a team, drive the development of AI features, and ensure robust model performance through evaluations and optimizations.

Develop and maintain AI systems for a financial platform, focusing on LLM pipelines, ML model serving, backend integration, and collaboration with engineering teams.

The AI Scout - Sr Software Dev Engr is responsible for designing and building AI solutions, integrating them into products, mentoring junior developers, and optimizing performance across applications using a variety of technology stacks.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

The AI Vision Engineer designs and deploys computer vision models, creates image processing pipelines, optimizes models for performance, and integrates vision capabilities with AI systems within semiconductor environments.

The Software Engineer will design, develop, and deploy software solutions for KLA products, improve coding efficiency with AI tools, and collaborate with cross-functional teams. Responsibilities include debugging in complex systems and enhancing software architecture understanding.

Lead the design process for AI-driven products, focusing on user-centered solutions. Mentor junior designers, collaborate with cross-functional teams, and ensure designs meet usability and accessibility standards.