Top Artificial Intelligence Jobs in Chennai

The role involves architecting and implementing Generative AI solutions, collaborating with teams to meet business needs, and ensuring production-level code is maintained and scalable.

The role involves designing, implementing, and scaling GenAI solutions, collaborating with teams to translate business needs into technical solutions, and ensuring high-quality code and architecture.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions with a focus on prompt engineering, machine learning, and cloud services. Responsibilities include collaborating with cross-functional teams, defining technical requirements, and ensuring best practices in architecture and design.

The Senior Product Manager will lead AI-native product development, create a product roadmap, and collaborate across teams to enhance energy data solutions.

Lead the design and implementation of advanced AI-driven systems, integrating agentic AI with enterprise systems while ensuring security and scalability.

The Principal Engineer will lead AI-driven development workflows, architect fullstack solutions, mentor engineers, and integrate AI capabilities into applications.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Vice President - AI Solutioning will lead the design and commercialization of AI-driven solutions in contact centers, engaging with clients, developing pricing strategies, and driving transformation.

This role focuses on implementing and optimizing AI technologies in marketing, including campaign automation, predictive analytics, and process orchestration.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

The AI Tooling Program Associate will lead the development and implementation of AI tools, identify automation opportunities, and support operations within the Databricks Professional Services team.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

Lead the architecture and development of Genesis AI for Expedite Commerce. Design and scale cloud-native, serverless architectures using AWS and integrate with Salesforce and enterprise ecosystems, while ensuring scalability and measurable outcomes.

The Senior Data Scientist will design and optimize large language models and multimodal systems, focusing on retrieval-augmented generation and high-quality search solutions.

The Senior Technical Recruiter will own end-to-end recruitment for AI and ML roles, focusing on technical sourcing and engagement, ensuring a strong candidate experience, and managing offers efficiently.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.