Top Artificial Intelligence Jobs in Delhi

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

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.

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.

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

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

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

The Technical Project Manager will manage AI projects from conception to execution, handle stakeholder communications, optimize resources, and improve development processes using Agile methodologies.

The Principal AI Systems Engineer will architect, build, and own AI systems, develop production-grade AI pipelines, and ensure reliability through evaluation and governance.

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

AI Engineer develops scalable AI capabilities, designs and trains machine learning and deep learning models, and integrates AI into business applications.

The Senior AI Engineer will architect, design, and implement AI and machine learning solutions, manage scalable AI capabilities, and mentor junior team members. Responsibilities include developing machine learning models, integrating AI into applications, and improving CI/CD pipelines.

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

The role involves developing AI-driven applications, integrating machine learning models, building scalable architectures, and optimizing performance. Collaboration with data scientists is key for enhancing product usability.

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

The AI Deployment Engineer will guide clients in adopting OpenAI's coding tools, collaborating with engineering teams to design and implement AI-enhanced workflows, build demos, and contribute to the OpenAI community through technical content and insights.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

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.