Top Artificial Intelligence Jobs in Chennai

As a Principal Architect, you'll enhance architecture platforms, provide technology guidance, develop multi-year roadmaps, and champion diversity in a cloud-based environment.

The role involves designing and developing software solutions, maintaining production code, and improving system architecture within an agile team at JPMorgan Chase.

As an Associate Software Engineer, you'll work with teams to clarify requirements, design data processing pipelines, and guide new engineers. You'll ensure adherence to best practices in software development while working in an Agile environment.

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.

The role involves leading product management for data science and AI initiatives, defining roadmaps, engaging stakeholders, and driving adoption of AI products across teams.

As an AI and ML Engineer, you will manage projects, collaborate on system setups, conduct risk analysis, and implement software configurations while ensuring communication within teams for effective outcomes.

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

Join Welo Data to contribute to inclusive AI through language data tasks like annotation, evaluation, and prompt creation. Remote work with flexible hours.

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

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

Analyze scientific literature on molecular interactions, ensure proper data presentation in the MetaBase database, and maintain knowledge on scientific trends.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

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.

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

The role involves designing and developing scalable applications using .NET or Python, integrating AI systems, and optimizing performance for production AI systems.

Lead enterprise sales strategy for manufacturing and conglomerates, manage large accounts, and mentor a sales team while aligning solutions with client operational priorities.

The role involves leading AI/GenAI solution architecture, pre-sales engagements, and mentoring teams. Responsibilities include designing solutions, engaging with clients, and ensuring compliance.

Seeking Artificial Intelligence Consultants with skills in algorithms, deep learning, and neural networks, with 2-3 years of experience.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

As a Reactive Problem Manager, you'll ensure timely resolution of critical IT incidents, lead root cause analyses, and coordinate communication across teams.

The Senior Product Manager will lead AI writing tool development, collaborate across teams, and utilize data for decision-making to enhance user experiences.

The AI Infrastructure Architect will design and build AI infrastructure solutions, optimize performance and cost, and manage vendor evaluations while collaborating across teams.

Seeking a Senior AI Engineer to develop cloud-native applications using AWS and Generative AI for enhancing developer experience and scalability, while mentoring teams and ensuring accessibility in design practices.

Develop machine learning software for semiconductor metrology, optimize algorithms, and collaborate on API development while documenting progress and providing support.