Top Artificial Intelligence Jobs in Delhi

The Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

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

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

The intern will contribute to research artifacts, conduct in-depth research, and assist with project management in emerging technologies.

The AI Product Manager will lead product vision and strategy for a cloud services platform, focusing on AI/ML technologies, collaborating with engineering teams, and ensuring product success through customer engagement and performance monitoring.

The Developer Relations role at Tether focuses on engaging and educating the developer community, creating technical content, and promoting the company's technology through advocacy and community building initiatives.

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.

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.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

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.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Lead AI strategy and execution for content: research and prototype LLM and vision solutions, architect scalable AI pipelines to process millions of documents daily, manage production ML lifecycle (latency, prompt engineering, reliability), and mentor engineering teams to deliver mission-critical systems.

The AI Architect will design, develop, and deploy AI solutions, collaborating with teams to align architecture with business objectives, manage risks, and ensure compliance with security policies.

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

The role involves developing AI-driven analytics solutions, collaborating with cross-functional teams, and ensuring high code quality in an agile setup.

Lead the design process for AI-driven products, focusing on user-centered solutions. Mentor junior designers, collaborate with cross-functional teams, and ensure designs meet usability and accessibility standards.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The role involves leading data and AI initiatives within the airline/travel sector, requiring extensive experience in data engineering and AI technologies.