Top Artificial Intelligence Jobs in Chennai

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.

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

The role involves designing and developing backend systems for AI applications, mentoring junior engineers, and ensuring high-performance and scalable services with AWS infrastructure.

The AI Backend Python Engineer will develop backend systems for generative AI applications, focusing on Python and AWS integrations, building APIs, and ensuring code quality and performance while collaborating with teams.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

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

As a Senior AI Engineer, you'll develop and maintain backend applications, collaborate with frontend teams, and implement integrations while ensuring code quality and standards.

AI Engineer develops scalable AI capabilities, designs and trains machine learning and deep learning models, and integrates AI into business applications.

The Senior AI Engineer will architect, design, and implement AI and machine learning solutions, manage scalable AI capabilities, and mentor junior team members. Responsibilities include developing machine learning models, integrating AI into applications, and improving CI/CD pipelines.

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

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

Design and develop enterprise-grade SaaS applications, collaborate with teams, maintain code quality, and implement microservices architecture.

Lead development of AI-native data products and BI portfolio that power dashboards, AI agents, and automated workflows. Own product P&L, validate hypotheses via SQL/Python, define data models, ship prototypes, and coordinate across AI teams while managing BI execution and mentoring a direct report.

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

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

The Senior AI Engineer II designs and develops scalable AI capabilities, optimizes ML models for business use cases, and leads data analytics talent within a collaborative environment.

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.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

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 the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Lead product development for an insurance-focused SaaS solution, collaborating across multiple teams and ensuring compliance and quality of deliverables.

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

The Senior Manager, Contracts oversees digital technology acquisition and non-product contracts, focusing on review, negotiation, and compliance with applicable laws and policies, while coordinating inputs from internal stakeholders.