Top Artificial Intelligence Jobs in Delhi

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, model integration) for marketing, creative, media, and commerce. Sell, design, deliver, and operationalize production AI systems, collaborate with creative and media teams, and drive business outcomes. Preferred experience with modern AI/data stacks (GCP, BigQuery, Vertex AI). Based in Bengaluru.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, production deployment) for marketing, creative, media, and commerce. Sell, design, build, and operationalize AI systems, collaborate with creative and strategy teams, and drive measurable business outcomes.

Contribute to end-to-end feature development across frontend and backend, build UIs in React/Next, extend microservices in Java/Python/Node, create SQL/ETL data pipelines, leverage AWS and observability tools, write tests, and collaborate with cross-functional teams while using AI-assisted development tools.

We are seeking a Senior Developer for automation and analytics projects, focusing on integration processes using Dell Boomi and Workato. Responsibilities include solution development, documentation, and client relationship management in both cloud and on-premise environments.

Manage design and deployment of integration solutions using Boomi and Workato, ensuring successful implementation and troubleshooting of integration processes.

Create high-impact motion content for product launches, campaigns, and marketing across social, ads, landing pages, and product demos. Translate features into engaging animated stories and lead motion across formats (reels, carousels, micro-interactions). Use AI-powered tools to accelerate production, collaborate with marketing, content, and product teams, and maintain a consistent motion language. Manage multiple projects while staying organized, fast, and detail-oriented.

As an AI Engineer, you'll design, build, and deploy AI agents for customer experience solutions, focusing on performance, scalability, and ethical compliance.

Lead end-to-end enterprise sales to build a new revenue vertical: generate pipeline, close large-ticket 0->1 deals with CXOs, create GTM strategy and repeatable playbooks for AI-driven products, and act as voice of the customer to shape product and positioning.

Evaluate chatbot conversations for quality, focusing on naturalness, utility, and audio quality. Follow guidelines and assess according to project-specific standards.

The role involves developing and managing integration processes using Boomi and Workato for complex business needs in finance and operations.

The Head of Generative AI and Innovation will drive the strategy and development of generative AI solutions, manage teams, implement solutions, and ensure ethical governance.

As a Senior Software Engineer, you will focus on large-scale content processing using AI applications. Your responsibilities include deploying LLM-based solutions, fine-tuning LLMs for data extraction, integrating observability for LLMs, and managing complex document processing pipelines.

Lead CRM strategy and MarTech solutioning for enterprise clients: win and run large RFPs, design customer lifecycle, segmentation, personalization and journey orchestration, select and integrate CEP/CDP/CRM/data platforms, present to executives, and mentor cross-functional teams in a consulting or agency environment.

The Technical Manager will lead the integration of generative AI in applications, overseeing development, ensuring compliance, and managing projects while collaborating with stakeholders.

Lead CRM strategy and MarTech solutioning for enterprise clients: design customer lifecycle, segmentation, personalization, and cross-channel journey orchestration; architect integrations across CEPs, CDPs, CRM systems and data warehouses; win large RFPs; present to executives; and mentor cross-functional teams.

Build, test, and deploy AI agents and automations integrated with Salesforce (Flows, Apex, LWC). Translate design documents into production-ready automations, self-test against acceptance criteria, document builds, and deliver high-impact solutions that reduce manual work across Customer Experience.

The Google Cloud AI Specialist will design and implement AI solutions using Google Cloud Platform to enhance decision-making and provide actionable insights, develop machine learning models, and ensure data quality.

The consultant helps in AI project scoping, requirement gathering, business process analysis, and ensures alignment of AI projects with strategic objectives and user needs.

Lead design, development, and deployment of enterprise AI and GenAI applications using LLMs, RAG, and agentic multi-agent systems. Architect cloud-native solutions on Azure, integrate vector databases and search, build scalable microservices and data pipelines, optimize performance and governance, and mentor engineering teams while collaborating with product and business stakeholders.

Manage and design integration processes using Boomi and Workato, supporting and developing solutions for complex business issues. Mentor team members and ensure effective communication with stakeholders.

Teach a Skool community to build and implement AI automations, agents, and workflows. Create tutorials, step-by-step guides, and live workshops; provide hands-on support for content creation, faceless YouTube channels, and business process automation; stay current with AI tools and strategies.

Seeking a Product Owner with experience in Java, Python, Springboot, AWS, and Artificial Intelligence to manage product development.

Lead delivery of advanced analytics and AI solutions for financial services. Translate business challenges into quantitative models, oversee development and validation of risk, treasury, portfolio, and ALM models, drive ML adoption, mentor multidisciplinary teams, support client engagements and business development, and ensure regulatory-compliant model governance and delivery.

Own and build end-to-end AI systems to turn customer voice data into searchable, actionable insight. Ship LLM-powered tools to production, deploy and monitor models, build AI pipelines on cloud warehouses, implement embeddings/semantic search/RAG, and ensure privacy, safety and quality in a regulated banking environment.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.