Top Artificial Intelligence Jobs in Delhi

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 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 AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

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.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

The role involves reviewing AI-generated outputs, generating content, and ensuring cultural accuracy in various media formats. Attention to detail and analytical skills are essential.

The Partner AI Deployment Engineer will guide AWS engagements, shape technical strategy, build AI architectures, and mentor partners to drive successful AI deployments.

The Principal Product Manager for Agentic AI Platform will lead the AI strategy and lifecycle, define capabilities, and ensure collaboration for scalable AI solutions in enterprise SaaS.

The Architect leads the delivery of data engineering for a multi-year transformation program, managing architecture, modeling, and technical coordination while ensuring quality and stakeholder engagement.

Lead the architectural development of large language model 'Super Agents,' optimizing workflows, integrations, and memory systems for autonomous reasoning and tool usage.

The Backend Developer designs and implements secure APIs, focusing on entitlement enforcement and audit logging, utilizing AI assistance in development.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

Responsible for leading end-to-end AI research projects, developing domain-specific models, mentorship, and optimizing research-to-production processes while collaborating across disciplines.

The Principal Applied AI Researcher will define and lead domain-specific model strategies, manage model lifecycle, mentor researchers, and influence platform decisions in AI research.

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 role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

The Data & AI Operations Specialist leads technical operations for AI infrastructure, manages data pipelines, and oversees MLOps across multi-cloud environments, ensuring compliance and performance optimization.

The role seeks an AI Lead to drive Generative AI and Computer Vision projects, focusing on precise visual transformations and model training while mentoring engineering teams in best practices.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

The AI/ML Engineer II will design, develop, and deploy scalable AI/ML solutions, optimize model performance, and integrate AI into products. The role requires collaboration with various teams and knowledge in deploying solutions to cloud environments.

As Marketing AI and Automations Lead, you will manage automation architecture, integrate platforms, and develop AI-driven workflows to optimize marketing processes and strategies.