Top Artificial Intelligence Jobs in Chennai

The role involves managing the modernization of legacy systems to Java microservices, leading a team, driving cost reduction, and adopting AI technologies.

The job involves providing consulting services in data and AI, helping clients optimize their operations and drive digital transformation.

The Lead AI Engineer designs and scales AI-driven platforms for case management and customer service, collaborating with stakeholders to develop machine learning solutions and automate workflows.

Design and deliver LLM-powered applications, build retrieval pipelines, and create evaluation frameworks. Collaborate with teams on innovative AI/ML solutions.

The Partner AI Deployment Engineer will guide AWS engagements, shape technical strategy, build AI architectures, and mentor partners to drive successful AI deployments.

The role involves designing and developing intelligent agent-based systems, orchestrating workflows, integrating LLMs, and optimizing performance.

The Principal Product Manager for Agentic AI Platform will lead the AI strategy and lifecycle, define capabilities, and ensure collaboration for scalable AI solutions in enterprise SaaS.

The Architect leads the delivery of data engineering for a multi-year transformation program, managing architecture, modeling, and technical coordination while ensuring quality and stakeholder engagement.

Lead the architectural development of large language model 'Super Agents,' optimizing workflows, integrations, and memory systems for autonomous reasoning and tool usage.

The role involves designing GenAI solutions with LLMs, optimizing RAG pipelines, developing applications, and integrating AI solutions into production systems.

Lead a Bengaluru-based engineering team for AI-powered banking products, ensuring execution, quality, and production reliability while collaborating with US stakeholders and maintaining hands-on technical involvement.

Develop, deploy, and maintain Generative AI applications using Python, integrate with APIs, and optimize performance while collaborating with cross-functional teams.

As an Applied AI Engineer, you will develop predictive ML models and GenAI agents, establish AI best practices, and work with enterprise data to craft intelligent solutions.

As an AI Architect, you will lead the development of enterprise AI solutions, mentor teams, and drive innovation in AI technologies and implementations.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, monitor performance, and improve processes for life sciences applications.

The Senior Software Engineer will develop and deploy AI/ML solutions, improve model performance, and collaborate with stakeholders to enhance customer experience.

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

The ML Engineer will develop and maintain software solutions for Machine Learning projects, focusing on code scalability, model deployment, and documentation, while collaborating with cross-functional teams.

Develop and maintain ML and AI solutions, create training pipelines, design dashboards, support troubleshooting, and document architectures.

The Backend Developer designs and implements secure APIs, focusing on entitlement enforcement and audit logging, utilizing AI assistance in development.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

Responsible for leading end-to-end AI research projects, developing domain-specific models, mentorship, and optimizing research-to-production processes while collaborating across disciplines.

The Principal Applied AI Researcher will define and lead domain-specific model strategies, manage model lifecycle, mentor researchers, and influence platform decisions in AI research.

Lead enterprise clients to improve AI search visibility through analysis, custom GEO playbooks, C-suite presentations, prompt testing, monthly reporting, and cross-functional product collaboration to drive platform adoption and measurable visibility gains.

The Agentic AI Developer will design and build intelligent AI systems, develop pipelines, and implement workflows for data extraction and processing.