Top Artificial Intelligence Jobs in Chennai

The role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.

The AI Engineer will design and automate business processes using n8n, manage workflows, and collaborate with teams on technical requirements and solutions.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.

Design, build, and productionize internal AI-powered applications and workflows. Develop frontends, backend APIs, containerize and deploy via Snowflake SPCS, implement CI/CD, secure access, observability, and integrations with enterprise SaaS.

In this role, you'll enhance customer support through automation, implement tools, analyze data, and collaborate cross-functionally to scale operations and improve efficiency.

The AI Engineer will develop, deploy, and optimize machine learning models for environmental and industrial applications, focusing on real-time object detection and classification.

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.

The Senior AI-Ready Data Advisor develops strategic plans to enhance data value and drive AI insights, manage clients, and innovate data-driven strategies.

The AI & Automation Engineer will develop AI solutions for HR processes, build chatbots and NLP models, and integrate AI tools with Workday while ensuring compliance and governance standards.

The Director will lead the RCAR AI/Innovation strategy, establish AI/ML use cases, integrate models into workflows, and drive adoption of AI solutions.

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.

Lead design, development, and deployment of scalable ML solutions (recommendations, fraud detection, credit risk) on AWS. Build MLOps infrastructure, monitoring/alerting, support production models (on-call), mentor engineers, and collaborate with product teams to deliver and scale AI-driven features.

The Architecture Consultant delivers multi-technology consulting services, develops architectural approaches, collaborates on business development, and engages clients directly.

Develop responsive front-end and robust back-end systems, collaborate on AI integrations, maintain databases, and implement DevOps practices. Emphasize on security and rapid prototyping in a dynamic, startup-like environment.

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

Develop and manage AI-enabled full-stack applications, integrating AI models and APIs, while collaborating with teams and researching new technologies.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

As a Senior AI Engineer, you will design and implement scalable AI systems, mentor junior engineers, and ensure impactful, ethical AI solutions. Responsibilities include collaborating with stakeholders and fine-tuning generative AI models.

Lead the QA strategy and architect automation frameworks for AI products. Design test approaches for AI models, influence teams, and drive quality initiatives.

The Engineering Manager - AI Growth leads engineering for AI product adoption and growth, managing monetisation tech and collaborating across teams for product success.

Lead organic growth by developing SEO and AI-driven content systems. Manage funnel performance and ensure technical SEO excellence while driving revenue initiatives.

Lead the design, development, and implementation of Agentic AI automation solutions. Architect and deploy AI systems for autonomous decision-making and task execution. Integrate large language models with enterprise APIs and mentor junior engineers.

Lead the development of AI services for the FBS Marketplace, focusing on modular AI components, scalable architecture, and advanced analytics.

The role involves managing AI Automation projects in finance, developing use cases, and proficiency in enterprise tools and data analytics.

Design, develop, and deploy Generative AI applications on GCP using Vertex AI. Build LLM-powered solutions (chatbots, summarization, document intelligence), implement RAG with vector databases and embeddings, manage token usage and prompt engineering, develop backend services/APIs, fine-tune models, and monitor and scale AI workloads while ensuring performance, reliability, and security.