Top Artificial Intelligence Jobs in Chennai

Lead implementation of AI and automation across legal functions: deploy contract intelligence, fraud detection, and KYC automation; digitize manual legal workflows and inbox triage; build self-service document tools; maintain the legal tech stack and KPIs; train legal teams to drive adoption. First-six-month goals include KYC digitization, AI-driven inbox triage, and a contract analysis tool that reduces review time by 30%+.

Lead design and delivery of AI-driven applications and analytics for engineering and manufacturing. Research AI technologies, build PLM-based automation, collaborate with global teams, deploy IT infrastructure, and maintain academic partnerships to accelerate digital transformation.

Integrate and deploy AI-driven HVAC control solutions by mapping client data to internal standards, testing and deploying algorithms, supporting project handoffs, documenting building HVAC systems and control points, updating configurations, and coordinating cross-functional teams to ensure timely, standardized digitalization and post-deployment support.

Lead full ML lifecycle to design, build, and deploy AI/ML (including Agentic and LLM) solutions for enterprise-scale reconciliation. Analyze large financial datasets, define model roadmaps, integrate models into production, ensure scalability, manage risks, and communicate results to senior stakeholders.

Design, build, and deploy production-ready AI systems using LLMs and generative models across cloud and on‑prem pipelines. Lead teams, make technical decisions, mentor engineers, integrate AI solutions, and optimize chatbots, image processing, and deep learning models for scalability and performance.

Design, develop, test, and deploy cloud-native microservices and APIs that run ML/AI algorithms on structured and unstructured telemetry data. Contribute code, automated tests, CI/CD pipelines, containerized deployments, and documentation while collaborating with product teams and geo-distributed stakeholders.

Lead design and implementation of agentic AI enablement systems: build end-to-end agentic workflows (orchestration, guardrails, evaluation), maintain retrieval/search infrastructure (indexing, ranking, relevance), integrate MCP/APIs, and create human-in-the-loop editorial and enablement tooling with cross-functional stakeholders.

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.

Design, develop, and maintain enterprise-scale, componentized applications using Java/Spring and modern Angular UIs. Partner with stakeholders to define enhancements, resolve complex issues, enforce coding standards, mentor junior staff, and support CI/CD and cloud-ready deployments while ensuring compliance and risk management.

Design, develop, and optimize AI, SLM/LLM, and agentic solutions. Implement and tune algorithms and large-scale distributed training, orchestrate model fine-tuning and serving, analyze performance, define APIs, and communicate technical outcomes to non-technical stakeholders.

This role involves applications development, system analysis, and programming, including consultation with users, project management, and leading agile teams.

The role involves developing, analyzing, and enhancing applications systems, supporting programming solutions, and ensuring compliance with laws and regulations while serving as a mentor to junior analysts.

The Sr. GTM AI Analyst will design, automate, and optimize systems to enhance Alation's revenue operations, utilizing AI and engineering skills to build effective workflows and integrations.

Build, deploy, and operate production ML and generative AI systems. Implement MLOps practices (experiment tracking, model versioning, CI/CD), design scalable serving architectures, monitor model performance and data drift, and collaborate with data scientists, engineers, and clients to operationalize AI across digital and marketing platforms.

Research and develop domain-specific LLMs and generative models for materials science: pretraining, fine-tuning, alignment (e.g., RLHF), evaluation, dataset curation, and benchmark creation. Collaborate with scientists and engineers to apply generative AI to discovery and hardware design, publish research, and mentor junior team members.

Design, build, and deploy enterprise-grade generative AI applications and agentic systems on GCP using Vertex AI, Gemini, and Google ADK. Implement RAG with vector databases, integrate agents with enterprise systems, optimize prompts and model performance, ensure security and governance, and contribute to CI/CD and cloud-native infrastructure for scalable production AI solutions.

Design, develop, test, and support Python-based generative AI and agentic applications. Build secure REST APIs/microservices, implement RAG with embeddings and vector DBs, integrate agent tools, monitor development lifecycle, recommend security/responsible AI controls, consult stakeholders, and mentor junior analysts.

Develop, test, and deploy machine learning and generative AI solutions (including LLM-based chatbots). Perform data preprocessing, feature engineering, EDA, model fine-tuning and evaluation, and collaborate to integrate models into production while documenting experiments.

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.

Build, deploy, and integrate LLM-based and AI tooling into developer workflows and CI/CD pipelines; troubleshoot and support developers; embed AI in build/upgrade/security processes; measure outcomes and iterate on tooling.

Execute and optimize SEO strategies across pages and channels using AI-assisted workflows. Perform keyword research, metadata and schema optimization, prompt refinement for AI outputs, monitor rankings and analytics (GA4, GSC, SEMrush), generate reports, QA junior deliverables, and collaborate with content and development teams to improve organic visibility and SEO processes.

The Product Manager will define and drive AI-powered statistics for life sciences, collaborate across teams, engage with customers, and support market differentiation strategies.