Top Artificial Intelligence Jobs in Delhi

The Systems Engineer will lead project delivery by providing technical guidance, ensuring best practices during deployment, and maintaining documentation, while also supporting customer success and continuous improvement efforts.

Seeking a Senior Manager to enhance sourcing operations using AI integration, predictive analytics, and process optimization. Responsibilities include vendor management and regulatory compliance.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

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.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

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

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

Lead complex IT internal audit engagements, develop risk-based audit programs, evaluate cybersecurity measures, and prepare audit reports. Act as a trusted advisor on technology risks.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

Lead a team focused on developing enterprise-grade AI platforms. Oversee technical execution, drive innovation, and ensure systems meet scalability and compliance requirements.

The role involves leading the strategy and execution for Weave's mobile platform, enhancing user experience and engagement through innovative mobile solutions.

The Technical Product Manager will define the AI product roadmap, collaborate with teams, and leverage data to enhance enterprise productivity.

The role involves troubleshooting complex customer issues in EPC and 5G Core environments, participating in product deployments, and enhancing operational efficiency using AI. Responsibilities include deep technical analysis, collaboration with engineering teams, and leading improvement initiatives.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

As an AI Product Manager at Aftershoot, you'll lead product strategy and execution, enhance user experience, and drive product adoption while closely collaborating with design, engineering, marketing, and growth teams.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

The AI Automation Specialist will automate workflows using AI tools, connect them with existing systems, and improve operations across the company.

Responsible for executing supplier strategy, managing full sales cycle, and enhancing customer satisfaction through relationship building and operational excellence.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

The role involves building and integrating LLM-powered systems, requiring expertise in Python, agent frameworks, and modern API development.

Lead development and implementation of generative AI solutions using LLMs and related tools. Perform data analysis, feature engineering, model development and evaluation, and collaborate cross-functionally to deliver production-ready AI applications with documentation and testing.

Perform data collection, evaluation, and annotation to improve AI-generated Kannada content. Tasks include pairwise comparisons, counting, object tagging and labeling across audio, video, images, and other data types.

Perform remote, part-time data tasks to improve AI content in Marathi, including data collection, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

This role involves implementing AI/GenAI and ML models, handling large data volumes, and delivering client-facing analytical solutions across industries, especially in M&A.