Top Artificial Intelligence Jobs in Chennai

Develop production-grade ASR and Speech AI systems, optimize architectures for real-time voice agents, and collaborate on scalable speech/NLP systems.

Design, develop, test, and maintain backend and frontend components for SaaS applications, translating requirements into technical designs and ensuring system performance.

The Principal Software Engineer will lead technical strategy and architecture design for a SaaS platform, mentor engineers, and drive best practices.

The Principal Software Engineer will lead the architecture and technical strategy for large-scale SaaS platforms, mentor teams, and drive best practices while collaborating with cross-functional stakeholders.

The role involves designing, developing, and optimizing scalable cloud-centric contact center solutions using AWS and advanced AI technologies, with a focus on Amazon Connect and conversational interfaces.

The role involves leading the design of integrated transformation solutions in AI, managing teams, and engaging stakeholders for process improvement.

As a part of the AI and High Performance Computing group, you will analyze data, develop concepts, prototype solutions, and specify software requirements.

The Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.

The Senior AI ML Engineer develops and deploys ML models, communicates complex analytics, and applies AI/ML techniques to enhance user interaction and health outcomes.

Lead the AI Capability Centre, driving strategic development and operational excellence in AI solutions while managing a team of AI experts.

The Senior Software Architect will design and architect AI-powered solutions, manage the full model lifecycle, and ensure compliance with Responsible AI governance while working on enterprise-scale applications.

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

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

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

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The Senior Software Architect - AI will design scalable AI platforms, manage architectural decisions for enterprise solutions, and guide teams on AI model lifecycles.

As a Staff Software Engineer, you'll design and develop scalable backend systems for an AI platform, collaborating with cross-functional teams to drive product delivery and implementing infrastructure as code.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

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

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

The Lead AI Engineer will deploy and manage AI models and infrastructure, ensure system performance, automate tasks, and collaborate with teams.

The role involves developing, analyzing, and enhancing applications systems, supporting programming solutions, and ensuring compliance with laws and regulations while serving as a mentor to junior analysts.

The role involves developing scalable machine learning systems, consulting with users, analyzing applications for vulnerabilities, and advising less experienced analysts.