Top Artificial Intelligence Jobs in Delhi

Serve as a strategic partner to an executive to translate strategy into execution, drive cross-functional initiatives, establish operating rhythms (AOP, OKRs), produce executive communications, analyze performance, improve governance and processes, and coordinate stakeholders to ensure timely delivery of organizational priorities.

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.

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.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Sell and manage solution-level offerings in industrial automation, digital twin, AI and cybersecurity. Build customer relationships, promote Yokogawa technologies across industries, and support sustainable, technical solution adoption.

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.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Lead enterprise AI strategy and execution, build and mentor AI/ML teams, oversee end-to-end model lifecycle and MLOps, drive AI adoption across products and operations, establish governance and responsible AI practices, define AI architecture and standards, evaluate emerging technologies, and communicate impact to executive leadership.

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

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.

Lead technology vision and architecture for enterprise projects; design cloud-native, data-driven and Generative AI solutions; ensure scalability, security, governance, and engineering excellence; run architecture reviews, POCs, and implementations; evaluate emerging technologies; influence clients via workshops and executive engagements; mentor architects and distributed engineering teams.

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

Design and prototype technical and AI-focused online learning experiences. Partner with SMEs and vendors to produce vendor-ready curricula, modular course assets, assessments, and design systems. Drive QA, pedagogical innovation, and AI-assisted tools to measure and improve learner outcomes.

Design, develop, and deploy autonomous AI agents and LLM-powered systems for resume optimization, job matching, career coaching, and AI interviews. Build multi-agent workflows, RAG systems, vector databases, prompt engineering and fine-tuning pipelines, agent evaluations, and human-in-the-loop oversight. Integrate LLMs into web applications and browser extensions while ensuring production scalability and reliability. Collaborate with engineering, product, design, and company leadership, and develop traditional machine learning workflows where needed.

Lead AI opportunity discovery, prioritize use cases, design AI-enabled product strategies and implementation roadmaps. Translate operational challenges into feasible AI solutions, assess data readiness, define high-level architectures, build ROI models, develop governance for responsible AI, and drive stakeholder engagement and field-based implementation (50–80% travel).

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.

Conduct applied research on voice-agent evaluation and self-improvement: design audio-native metrics and adversarial datasets, build observability and tracing for cascade failures, mine production traces to generate fine-tuning or prompt fixes, and validate improvements under adversarial replay. Collaborate to ship solutions and publish research.

Lead AI-driven digital marketing: create SEO-optimised content, run social and paid campaigns, perform SEO and technical audits, implement Zoho One automation, analyse performance with GA4 and Search Console to generate quality B2B leads.

Build LLM-powered dashboards, RAG pipelines, AI agents, and data pipelines for retail operations. Implement model monitoring, fine-tuning, A/B testing, and ML lifecycle processes. Integrate cloud warehouses, vector DBs, and visualization tools; collaborate with stakeholders to translate retail KPIs into AI-driven operational workflows and deploy solutions for store ops, maintenance, NSO, and CEO escalations.

Create and optimize high-quality 3D models, textures, materials, and renders for games, AR/VR, animation, and marketing. Use AI-assisted tools to accelerate asset creation, collaborate with cross-functional teams, revise based on feedback, and maintain production pipelines and organized project files.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.