Top Artificial Intelligence Jobs in Chennai

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

Lead AI/ML engineering teams to build AI solutions, overseeing strategy, architecture, and high-performance team management. Collaborate with other teams and ensure operational excellence in AI projects.

The Engineer-ECM will manage ECOs, use Agile for change orders, and support product updates while ensuring process efficiency and team training.

As an Agentic AI Engineer, you design, build, and deploy agent-driven AI systems, integrating them into business processes and ensuring their scalability and reliability.

As a Senior Agentic AI Architect, you'll design and implement autonomous AI architectures, mentor teams, and influence enterprise integration of AI solutions.

Lead a team to develop AI safety tools and platforms, ensuring responsible innovation and collaboration with customers. Mentor staff and guide projects in AI safety methodologies.

The R&D Engineer will conduct feasibility studies, develop AI solutions, integrate AI into production, and support operational excellence. The role requires strong analytical skills and collaboration with global research teams.

The Lead DevOps Engineer will support AI/ML systems deployment, CI/CD development, monitoring model performance, and collaborating with ML teams to optimize operations.

The Lead AI Developer is responsible for guiding software development, ensuring quality delivery, mentoring team members, and resolving technical issues throughout the development cycle.

The Integrations Engineer will connect engineering teams with clients, ensuring successful integration of the Agentic AI Platform. Responsibilities involve designing tailored solutions, providing technical support, and improving products based on customer feedback.

The Lead Engineer will design AI workflows, integrate LLMs, develop AWS solutions, and collaborate on AI-driven applications, ensuring security and best practices.

The Lead Engineer - AI will design AI workflows, integrate LLMs with AWS services, build React.js components, and ensure AI-powered applications are deployed securely and efficiently.

Lead and grow the Applied AI team, providing engineering leadership and product guidance for AI agents in physical operations. Drive team performance and collaborate with cross-functional teams to ensure product reliability and user value delivery.

The Software Engineer II will design and maintain Striim's AI-driven cloud-native platform, optimizing microservices, collaborating on architecture, and ensuring reliability in real-time data processing.

Design and develop AI solutions for business challenges, manage data pipelines, and implement machine learning at scale, ensuring high-quality deliverables.

As an AI Integration Engineer, you'll lead the deployment of ServiceNow and Workday connectors, troubleshoot integration issues, deliver customer workshops, and collaborate with product teams to enhance connector performance.

The role involves ensuring quality of AI solutions by designing test strategies, building automation frameworks, and validating enterprise applications performance.

As an AI Process Automation Engineer, you will design and develop AI-driven automation tools, collaborate with teams to optimize processes, and create integrations and workflows using scripting and automation frameworks.

As a Full-Stack Software Engineer, you'll develop both backend systems and frontend interfaces for AI agents, collaborating with team members to solve technical problems. Roles include implementing robust backend services, building user-facing features, and contributing to technical design discussions, all while maintaining high-quality code standards.

The AI Support Engineer provides customer support for DataRobot's AI platform, troubleshoots complex issues, collaborates with teams, and documents solutions.

Lead the architecture and implementation of scalable Generative AI solutions. Collaborate with teams to convert business needs into AI-driven designs. Oversee production-quality Python code and ensure deployment on cloud platforms.

The role involves designing and developing a cloud platform, building scalable services, mentoring engineers, and utilizing AI/ML frameworks.

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

Develop intelligent AI agents for multimodal interactions, applying AI and ML expertise to improve customer experiences with speech and chatbots.