Top Artificial Intelligence Jobs in Chennai

Design and optimize multi-turn chat and voice conversational experiences using prompt engineering and NLU. Create error-handling, multimodal interactions, and analytics-driven improvements. Lead cross-functional efforts with product and engineering, ensure accessibility, ethics, and brand-aligned voice, and deliver measurable business outcomes.

Design, develop, test, and maintain enterprise web services and software components using Java or C# stacks. Collaborate in agile teams, apply OOP design patterns, use DevOps tools (Ansible, GitHub, Jenkins), and leverage AI-assisted development to deliver high-quality solutions.

Lead analytics for Growth & Retention and Customer 360: build analytics data models, dashboards, predictive churn and propensity models, apply LLM/ML techniques for automated insights, and partner with cross-functional stakeholders to operationalize KPIs.

Lead the design and implementation of AI infrastructure for the People Products ecosystem, optimizing AI technology integrations and maintaining ethical standards while mentoring teams and ensuring effective deployment of AI solutions.

Lead day-to-day support and operations for AI-driven applications, ensure reliable deployment and performance, manage incidents, vendor relationships, stakeholder and compliance needs, and implement best practices.

Lead and manage day-to-day support and operations for AI-driven platforms (Generative AI, LLMs, AI agents). Collaborate with engineering and stakeholders, oversee monitoring, incident response, vendor relationships, compliance, and process improvements to ensure reliable, cost-effective, and user-focused platform services.

Lead the ethical use and governance of AI, ensuring compliance with legal standards, managing AI risks, and fostering collaboration across teams.

Lead the design and delivery of enterprise-scale AI solutions, mentoring teams, and defining architecture standards for robust AI systems.

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

Lead and scale GitLab's Enterprise Technology & AI operations in India, focusing on delivery excellence, QA, and building high-performing teams in a remote environment.

As a Reactive Problem Manager, you'll ensure timely resolution of critical IT incidents, lead root cause analyses, and coordinate communication across teams.

The AI Engineer is responsible for designing, validating, and supporting engineering processes, ensuring compliance with development plans and customer requirements.

The role focuses on developing applications using Power Apps and Power Automate, managing requirements, conducting reviews, and ensuring compliance.

As an AI Technical Program Manager, you will manage large-scale cross-functional programs, driving solutions for AI delivery, ensuring system performance, and engaging with product and engineering teams.

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

Lead enterprise sales strategy for manufacturing and conglomerates, manage large accounts, and mentor a sales team while aligning solutions with client operational priorities.

Lead enterprise IT strategy and delivery, partnering with business leaders to implement cloud, analytics, AI, and enterprise systems. Manage multi-location teams, vendor relationships, security compliance, IT service delivery, and change management while driving digital transformation and operational excellence.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.

As a Principal AI Quality Lead, you will establish automated evaluation frameworks and quality standards for AI systems, ensuring reliability and safety. You'll design pipelines, metrics, and methods for continuous evaluation and collaborate with engineering teams to embed quality practices in the development lifecycle.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

The role involves leading AI/GenAI solution architecture, pre-sales engagements, and mentoring teams. Responsibilities include designing solutions, engaging with clients, and ensuring compliance.

Design, develop and maintain scalable software systems as part of a distributed team; collaborating with product managers and engineers while ensuring quality and performance.