Top Artificial Intelligence Jobs in Chennai

Lead and operate enterprise-scale cloud infrastructure and SaaS/PaaS production systems. Manage Kubernetes workloads, implement SRE best practices (Terraform, CI/CD, observability, incident response), automate with Python/JavaScript/Go, apply cloud security measures, and leverage AI-Ops tools for operations and analysis.

Senior SRE responsible for administering enterprise-scale SaaS/PaaS cloud infrastructure, managing Kubernetes workloads, applying SRE principles (CI/CD, Terraform, observability), automating with Python/JavaScript/Go, ensuring cloud security, and leveraging AI-Ops tools for operations and incident response.

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

Design, build, and optimize generative AI applications including LLM features (chat, summarization, extraction), RAG workflows, embeddings and vector search. Improve model reliability and evaluation, implement integrations with AI APIs and vector databases, optimize performance (latency, throughput, compression), and collaborate across product, data, and engineering teams to deliver production AI features.

The role involves developing AI/ML systems, specifically focusing on conversational AI and voice systems, using AWS services and creating backend solutions.

Lead design, development, training, evaluation, and productionization of scalable ML/AI models using MLOps and CI/CD. Collaborate with data, product, and engineering teams, mentor engineers, enforce ML best practices, and ensure responsible, ethical AI and model monitoring in production.

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.

As a Staff Software Engineer, you'll design and develop scalable backend systems for an AI platform, collaborating with cross-functional teams to drive product delivery and implementing infrastructure as code.

Design and build scalable, AI-native backend microservices (Java/Spring Boot) using hexagonal architecture. Own domain models, Kafka event contracts, DB schemas (MongoDB, PostgreSQL, Cosmos), Temporal workflows, and AI integration patterns. Ensure performance, reliability, observability, and mentor engineering teams.

Develop production-grade ASR and Speech AI systems, optimize architectures for real-time voice agents, and collaborate on scalable speech/NLP systems.

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Lead technology strategy and governance for multiple business units, aligning IT investments with business goals. Drive digital transformation, cloud and automation adoption, risk management, service delivery, and cost optimization. Build and mentor high-performing teams, engage C-suite stakeholders, and ensure enterprise integration and compliance to deliver measurable business value across global operations.

Design, build, and operate agentic LLM-powered workflows, autonomous agents, and RAG/vector retrieval systems. Own end-to-end delivery including CI/CD, IaC, observability, DevSecOps, and Salesforce integrations to productionize enterprise AI for GTM applications.

The Principal Software Engineer will lead the architecture and technical strategy for large-scale SaaS platforms, mentor teams, and drive best practices while collaborating with cross-functional stakeholders.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

Lead engineering delivery of agentic AI solutions for GTM systems, designing LLM-powered workflows, autonomous agents, RAG/semantic search, Salesforce and Slack integrations, CI/CD and observability, mentoring engineers, enforcing AI governance and security-first practices.

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.

Lead research and development in AI/ML, design scalable pipelines, implement models, and collaborate with cross-functional teams for optimal solutions.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

Lead product development for an insurance-focused SaaS solution, collaborating across multiple teams and ensuring compliance and quality of deliverables.

The role involves managing complex programs across engineering, AI/ML, and business teams, ensuring delivery quality while adapting to rapidly changing priorities within an AI-native environment.

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

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.

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.