Top Artificial Intelligence Jobs in Chennai

Build and maintain Java backend services and end-to-end features (backend and frontend). Design data models and DB schemas, integrate with frontend, perform code reviews, troubleshoot, deploy with DevOps, and collaborate with US teams and partners to expand the supply-chain platform.

Lead end-to-end engineering delivery of DecisionIQ: design, integrate, deploy and monitor AI/ML features; establish CI/CD, observability, and DevSecOps; partner with product and stakeholders; and build and mentor a high-performing India-based engineering team to deliver production-grade AI products.

Lead design and implementation of agentic GenAI solutions. Build prototypes, production services, RAG pipelines, LLM orchestration, and cloud-native deployments on Azure. Drive LLMOps, evaluation, performance optimization, DevOps/MLOps practices, and mentor engineering teams to deliver secure, scalable conversational and agent-based AI systems.

R&D trainee internship within Valeo's Artificial Intelligence organization. Support AI research and development projects, collaborate with engineers, assist in prototyping, experiments, and documentation, and gain hands-on experience in mobility-related AI solutions.

Lead design, implementation, and continuous improvement of governance, strategy, and performance management for Procurement, New Parts Development, Supplier Quality, and Supply Chain. Drive process standardization, compliance, KPI reporting, audits, and rollout of tools and governance while supporting change management and stakeholder alignment.

Design, build, and operate production-grade GenAI/LLM systems: RAG pipelines, agentic multi-agent orchestration, vector DBs, LLM integrations, observability, PII redaction, and deployment using AWS Bedrock, FastAPI, Docker and monitoring tools. Collaborate on architecture docs and CI/AI evaluation frameworks.

Lead design and delivery of AI/GenAI solutions for telecom CSPs: prototype development, solution architecture, technology selection, integration, deployment planning, pre-sales support, and team mentoring to drive enterprise-scale AI adoption.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Manage and grow an India-based AI Development team to deliver enterprise agent applications. Translate product priorities into sprints, partner with the Director of AI on roadmap and technical execution, establish async-first delivery rhythms across US/India, handle India operations (hiring, performance, compensation), coach on modern programming practices, and unblock work through cross-team relationships.

Lead a team delivering high-quality retailer data for US markets: validate, troubleshoot, document processes, drive automation (R/Python/Excel Macros), coordinate with stakeholders, monitor KPIs, and manage projects to improve data quality and on-time delivery.

Lead the AI Capability Centre, driving strategic development and operational excellence in AI solutions while managing a team of AI experts.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

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

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

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

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

Lead technology vision and architecture for enterprise projects; design cloud-native, data-driven and Generative AI solutions; ensure scalability, security, governance, and engineering excellence; run architecture reviews, POCs, and implementations; evaluate emerging technologies; influence clients via workshops and executive engagements; mentor architects and distributed engineering teams.

The role involves maintaining and enhancing the AI Studio platform, collaborating with teams on priorities, implementing AI capabilities, and ensuring operational excellence and scalability.

The Senior Product Software Engineer will design and maintain Generative AI applications, optimize LLM usage, and build multi-agent systems with a focus on security and scalability.