Top Artificial Intelligence Jobs in Chennai

The Technology Manager will develop and implement technology strategies, lead customer solution development, manage PoCs, and participate in technology strategy forums.

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.

Design, develop, test, and maintain backend services and data models for a high-scale logistics platform. Build microservices and REST APIs, integrate with front-end, deploy to cloud (AWS/Azure), ensure high test coverage and production reliability, and mentor engineers while contributing to AI initiatives and system architecture.

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.

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 AI solution delivery across transformation programs, translating business needs into scalable solutions, mentoring teams, and ensuring compliance with governance standards.

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

Lead the design and delivery of enterprise AI solutions, overseeing architecture, mentoring teams, and ensuring compliance with standards and best practices.

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

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

The Engineer - ECM will manage Engineering Change Orders, collaborate with teams for product updates, create and track BOM in various systems, ensure process adherence, mentor colleagues, and implement continuous improvement strategies.

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 design and development of GenAI applications using Python, FastAPI, and LLM frameworks, while building agentic workflows and enhancing AI services integrated with cloud platforms.

Lead the design and delivery of AI/GenAI solutions, mentor teams, define architecture standards, and integrate various technologies for performance and scalability.

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 role involves leading the strategy and execution for Weave's mobile platform, enhancing user experience and engagement through innovative mobile solutions.

The Technical Product Manager will define the AI product roadmap, collaborate with teams, and leverage data to enhance enterprise productivity.

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

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

The Technical Project Manager will manage AI projects from conception to execution, handle stakeholder communications, optimize resources, and improve development processes using Agile methodologies.

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

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