Top Artificial Intelligence Jobs in Delhi

Lead design, development, training, evaluation, and productionization of scalable ML/AI models using MLOps and CI/CD. Collaborate with data, product, and engineering teams, mentor engineers, enforce ML best practices, and ensure responsible, ethical AI and model monitoring in production.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

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

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

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

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Design, build, and operate agentic LLM-powered workflows, autonomous agents, and RAG/vector retrieval systems. Own end-to-end delivery including CI/CD, IaC, observability, DevSecOps, and Salesforce integrations to productionize enterprise AI for GTM applications.

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.

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

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

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.

Lead engineering delivery of agentic AI solutions for GTM systems, designing LLM-powered workflows, autonomous agents, RAG/semantic search, Salesforce and Slack integrations, CI/CD and observability, mentoring engineers, enforcing AI governance and security-first practices.

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 Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

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

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.

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.

The Vendor Program Manager develops vendor marketing plans, manages product categories, coaches staff, and reports on marketing performance while ensuring profitability and alignment with vendor objectives.

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.

As an AI Data Specialist, you will perform data-related tasks including collection, evaluation, annotation, and object tagging in Urdu.

The AI Data Specialist will perform data collection, evaluation, annotation, and labeling tasks for AI-generated content in Tamil.

Perform remote part-time data tasks to improve AI-generated Telugu content: collect, evaluate, and annotate data; conduct pairwise comparisons, counting tasks, and object tagging/labeling across audio, video, images. Flexible schedule, 10+ hours/week.

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.