Top Artificial Intelligence Jobs in Chennai

The AI Manager will lead a global team in AI project delivery, manage AI roadmaps, oversee LLMOps pipelines, and engage with stakeholders while ensuring compliance and performance metrics are met.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

The Senior Product Manager - AI Platform will lead the development of AI infrastructure and enhance platform capabilities, ensuring efficient AI feature delivery and governance.

The Senior Product Manager - AI Growth will drive AI product adoption, engagement, and monetization, managing UI/UX, experimentation, and metrics for growth initiatives.

The Senior Engineer II-Software AI/ML will design and implement AI models, optimize applications for edge computing, collaborate with teams, and maintain software solutions while adhering to best practices.

The role involves facilitating client workshops, mapping workflows, defining business metrics, and delivering AI-driven solutions. It requires strong communication skills and hands-on AI experience.

Lead AI strategy and implementation for content processing at scale: research and prototype LLM and CV solutions, design robust, high-throughput AI services and pipelines, solve production ML challenges (latency, variance, observability), and mentor engineering teams to deliver mission-critical AI features.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

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

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, monitor performance, and improve processes for life sciences applications.

The job involves providing consulting services in data and AI, helping clients optimize their operations and drive digital transformation.

The AI Solutions Engineer role involves deploying AI tools, optimizing AI agents, improving workflows with AI, integrating systems, and training users on AI solutions.

Lead AI transformation engagements, overseeing client relationships and project delivery while mentoring consultants. Requires deep AI fluency and commercial instincts.

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

Lead enterprise clients to improve AI search visibility through analysis, custom GEO playbooks, C-suite presentations, prompt testing, monthly reporting, and cross-functional product collaboration to drive platform adoption and measurable visibility gains.

The AI Engineer will maintain and optimize AI services, manage microservices, ensure production stability, and build feedback systems for continuous improvement.

Lead design and scaling of AI solutions, manage ML pipelines, ensure compliance, and collaborate with global teams for implementation and optimization of advanced AI systems.

Design and develop automated test frameworks using C# for web and API applications, collaborating with teams to establish test strategies.

The AI Architect will design and implement AI solutions using GCP and Python, leading architectural standards and mentoring teams while ensuring scalable and secure cloud architectures.

The Gen AI Lead Developer will develop and optimize LLMs and generative AI pipelines, build scalable AI/ML systems, and conduct experiments to validate model performance.

The Gen AI Developer Specialist will work with deep learning frameworks and develop applications using Gen AI, FastAPI, and ReactJS, among other technologies.

Design, build, and operate scalable, secure cloud infrastructure (primarily GCP) with AI-enabled observability and automation. Optimize CI/CD pipelines, implement IaC (Terraform), support AI/ML platforms, troubleshoot distributed systems, and provide 24x7 on-call incident response. Mentor junior engineers and enforce SDLC, security, and compliance standards.

The Principal AI Researcher will advance Generative AI systems through research, development, and leadership in technical projects, with responsibilities including algorithm design, mentoring, and producing research publications.

The Applied AI Researcher will conduct research to advance AI systems, design and implement methodologies, develop algorithms, and partner with teams for product integration.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare datasets, integrate models with platforms, optimize for GPU and inference speed, and collaborate with cross-functional teams while maintaining code quality and documentation.