Top Artificial Intelligence Jobs in Chennai

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

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.

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.

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

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

Design and develop machine learning models, optimize performance, integrate with applications, monitor models in production, and apply MLOps best practices.

The VP, Chief AI Architect defines AI architecture vision and governance across Pfizer, ensuring scalable AI solutions, compliance, and innovation while managing a team and partnering closely with the Head of AI CoE.

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

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

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

Design and deploy scalable AI/ML solutions, optimize model performance, and collaborate with teams to translate business challenges into AI solutions.

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

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

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

Lead transformation of global support by building AI-human hybrid workflows, drive AI-powered triage/resolution, own CSAT/NPS/SLA metrics, translate support insights into product priorities, and upskill the team into AI trainers, knowledge architects, and escalation specialists.

The Account Executive will drive revenue growth in enterprise accounts within manufacturing by leading complex engagements, building relationships with CEOs, and managing a sales team.

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

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 technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

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.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.