Top Artificial Intelligence Jobs in Delhi

Support ecosystem partnerships to enhance industrial adoption of emerging technologies, manage stakeholder relationships, and oversee commercialization efforts.

The role involves developing policies and governance for digital infrastructure, analyzing data center operations, and engaging with industry stakeholders.

The Business Ecosystems Manager will support partnerships for industrial adoption of emerging technologies while driving digital transformation and managing stakeholder relationships.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

The Customer Segment Leader will manage a team, drive business development, establish senior-level connections, and deliver revenue targets, focusing on government clients in IT.

The Customer Segment Leader for the Government Sector will manage teams and drive business development while establishing senior connections to meet revenue goals and maintain excellent service delivery.

The candidate will lead a team, develop business strategies for government clients, drive revenue, and manage stakeholder engagement.

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.

Maintain and improve on-premises MLOps infrastructure: deploy, monitor, and optimize ML models; troubleshoot Linux/Docker/Kubernetes stacks; build CI/CD, deployment, and monitoring tools; productionize research artifacts; enforce testing and engineering standards; collaborate with data scientists and software engineers to scale ML systems.

Manage and grow an India-based AI Development team to deliver enterprise agent applications. Translate product priorities into sprints, partner with the Director of AI on roadmap and technical execution, establish async-first delivery rhythms across US/India, handle India operations (hiring, performance, compensation), coach on modern programming practices, and unblock work through cross-team relationships.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Lead consulting engagements on technology policy, DPI, AI, and innovation ecosystems. Conduct research and policy analysis, manage stakeholder engagement, supervise analysts, deliver presentations, briefs and reports, support implementation of innovation programs, and develop proposals and thought leadership.

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

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.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

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

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.

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.

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 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.

Remote, part-time freelance role to improve AI-generated Hindi content. Tasks include data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images. Requires native Hindi fluency and strong English; ML/data annotation experience preferred. Flexible hours, immediate start, paid hourly.