Top Artificial Intelligence Jobs in Chennai

The role involves participation in application systems analysis and programming, enhancing systems, consulting with users, and mentoring junior analysts.

The Senior Engineer will develop and expand the AI Studio Platform, design innovative prototypes, collaborate on cloud-native solutions, and research emerging technologies in AI and automation to enhance business outcomes for Presidio's clients.

The IT Operations Engineer will manage AI and Data platforms, ensure operational health, lead incident resolution, and automate tasks while collaborating with engineering teams.

The AI Research Engineer will build ML models for detecting security threats, maintain AI features, and work closely with security analysts to improve detection.

The Senior Backend AI Engineer will design and implement AI-driven content ingestion and transformation pipelines, ensuring high-quality data extraction and normalizing processes, while mentoring other engineers and enhancing backend APIs.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

The role involves evaluating AI outputs, reviewing text, analyzing multimedia, and providing culturally relevant content in Kannada while ensuring quality and accuracy.

As an AI Expert, you will review and evaluate AI-generated outputs, correct text, analyze multimedia content, and ensure cultural appropriateness and accuracy in the outputs.

The role involves reviewing and evaluating AI-generated content, providing feedback based on cultural appropriateness and clarity, and ensuring high-quality deliverables for AI projects.

The role involves evaluating AI outputs, creating culturally relevant content, spotting issues, and providing structured feedback to improve AI models.

The role involves evaluating AI-generated content, reviewing text, creating annotations, and ensuring quality by applying cultural insights. Candidates must be detail-oriented and fluent in Assamese and English.

This role involves reviewing AI-generated content, ensuring cultural relevance, generating content, and providing assessments to improve AI models. Attention to detail and analytical skills are crucial.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

Build and operate production ML/LLM systems: design MLOps platform capabilities, standardized pipelines, model registry and artifact lineage; deploy using containers/Kubernetes and CI/CD; implement observability, SLOs, incident response, model/data monitoring, security controls, and enable teams with documentation and best practices.

The Principal AI Architect defines and operationalizes AI architecture within Microsoft 365, ensuring security, compliance, and integration while leading AI initiatives, managing teams, and engaging with executives.

Design and implement production-grade Agentic AI platforms, develop data engineering solutions with Python, and optimize AI agent performance. Collaborate with teams to solve complex business challenges.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

The AI Prompt Engineer II will design, build, and optimize prompting systems for large language models, develop evaluation frameworks, and improve user interactions while collaborating across teams to enhance AI-driven workflows.

The position involves building and owning product surfaces across the entire stack, mentoring engineers, and making infrastructure decisions for AI-focused projects.

The AI Applications Engineer II is responsible for administering and optimizing the Google Gemini Enterprise AI platform, enhancing user experience, and managing cloud infrastructure, security policies, and automating workflows while collaborating with various teams.

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.

The role involves building AI-powered products, designing reliable LLM-powered systems, and ensuring performance and quality. You'll collaborate in fast-paced environments and own the full product lifecycle.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

The role involves leveraging machine learning and optimization techniques to provide data-driven insights in supply chain operations, requiring proficiency in data modeling, Python, and cloud technologies.

Lead the design and delivery of SAP Finance solutions, driving process excellence and innovation in a global organization, while mentoring junior team members.