Top Artificial Intelligence Jobs in Delhi

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Performs AI data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and other content. The role supports improving AI-generated content in Tamil and requires native-level Tamil fluency, advanced English proficiency, and preferably experience with machine learning data tasks, preprocessing, quality assurance, or labeling.

Business Analyst supporting payments and digital banking journeys for global retail banking clients. Responsibilities include requirements elicitation, backlog management, Agile delivery, customer channel analysis, MVP prioritization, Epic and user story creation, stakeholder coordination, As-Is analysis, market research, solution walkthroughs, and implementation support across business, technology, operations, risk, legal, compliance, and UX teams.

Business Analyst responsible for payments and digital journey initiatives within retail and global banking. The role involves requirements elicitation, backlog and Agile delivery management, customer channel analysis, MVP prioritization, epics and user stories, stakeholder alignment, market and As-Is analysis, solution walkthroughs, implementation support, and coordination across business, technology, operations, risk, legal, compliance, and UX teams.

Senior consultant responsible for developing foundational literacy skill frameworks, oral reading fluency assessment specifications, diagnostic-to-remediation pathways, content standards, and product guidance. The role translates evidence, EGRA, and Science of Reading principles into AI-enabled tools for multilingual, low-resource education settings. Responsibilities include collaborating with product and technology teams, contextualizing frameworks for curricula and languages, engaging government and education stakeholders, and delivering validated frameworks, rubrics, sample materials, and handover guidance.

First-year MBA students will join Roland Berger as MBA Summer Associates for 8–12 weeks, contributing to real client consulting projects across global offices. Responsibilities involve strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data skills to complex business challenges. Strong performers may receive full-time offers. Applicants must submit a CV and cover letter, select up to three country preferences, and meet local-language requirements for most offices.

Recruits, contracts with, and manages Pearson VUE test-center partners across APAC. Builds lead pipelines, negotiates agreements, drives testing volume and product sales, maintains partner relationships, supports onboarding and retention, and uses Salesforce and reporting tools to generate data-driven insights. The role collaborates globally across time zones, supports channel sales operations, and participates in occasional industry events.

Lead and scale the APAC Corporate Account Executive organization, owning revenue performance, recruiting, coaching, forecasting, pipeline health, sales enablement, and process optimization. Develop repeatable sales motions for technical AI and API solutions, partner with Marketing, Product, Growth, and Customer Success, and translate customer insights into go-to-market and product improvements. The role also drives AI-powered sales workflow automation in a fast-paced, remote-first environment.

Lead end-to-end delivery and governance of enterprise AI, Generative AI, Agentic AI, and machine learning initiatives. Manage planning, budgets, resources, risks, dependencies, stakeholders, customer engagements, and cross-functional teams including architects, data scientists, engineers, and MLOps specialists. Drive discovery workshops, roadmap definition, agile delivery, executive reporting, responsible AI practices, cloud AI implementations, and production deployment while ensuring quality and business outcomes.

Own the full sales cycle for Glacier’s recycling-sorting robots and analytics solutions. Conduct technical discovery with recycling plant operators and engineers, scope deployments, develop customer-specific business cases and proposals, address objections, and close contracts. Build relationships and source opportunities through grants, conferences, and industry outreach. Feed customer insights into the engineering roadmap and help shape the company’s go-to-market process. Travel domestically up to 50%.

Embed responsible AI practices into AI solution design, development, and operations. Assess risks involving fairness, privacy, safety, transparency, security, and regulatory impact; define governance controls and approval gates; review LLM, RAG, and agentic systems; establish documentation, monitoring, human oversight, and audit evidence; and coordinate remediation with engineering, legal, compliance, security, and product teams.

Business Analyst supporting payments and digital journey transformation in retail and global banking. Responsibilities include requirements elicitation, backlog management, Agile delivery, customer channel analysis, MVP prioritization, epic and user story creation, stakeholder collaboration, and full delivery lifecycle support. The role partners with business, technology, operations, risk, legal, compliance, UX, product owners, and solution architects across international markets.

Supports research and product innovation by analyzing large-scale datasets, improving machine learning algorithms, designing experiments, preparing modeling data, developing scalable AI prototypes, and assisting with feature ideation and data quality improvements under senior guidance.

Lead Tide’s Credit Outcome product vertical, owning strategy, roadmap, commercial outcomes, and the percentage of members achieving a first credit outcome. Manage and develop product leaders, establish ownership and operating rhythms, partner with Engineering, and align Design, Data, Risk, Compliance, Commercial, and Operations. Use analytics and experimentation to improve conversion, efficiency, margin, and member experience across multiple markets, while identifying opportunities for automation and AI.

Leads SAP testing strategy, architecture, standards, automation, and quality processes across enterprise applications. Manages teams of 12–15 specialists, coordinates internal and external stakeholders, oversees testing across multiple projects, develops scalable solutions and roadmaps, establishes KPIs and configuration standards, and drives organizational change. The role requires extensive SAP business-process knowledge, strong program and people management, technical leadership, and collaboration across global onshore-offshore teams.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Leads enterprise AI strategy, automation, innovation, and research-focused product development. Scopes AI products and agents, coordinates technology and product teams, manages testing and rollout roadmaps, evaluates third-party tools, supports client proposals, develops thought leadership, and delivers AI upskilling. Requires strategic research and consulting experience, strong business and stakeholder communication, process innovation expertise, and familiarity with AI and low-code/no-code development.

Leads global sales operations, strategy, go-to-market planning, governance, analytics, forecasting, incentive programs, and process improvement. The role drives sales digitalization, AI-powered efficiency initiatives, pipeline management, reporting, organizational transformations, and sales competency development across a global, matrixed organization.

Designs and executes testing strategies for AI and machine learning applications. Responsibilities include building test automation frameworks, functional and regression testing, API and data-flow validation, test case and documentation development, root cause analysis, and collaboration with development teams to embed quality checks throughout the software delivery lifecycle.

Leads the design, development, validation, monitoring, and production deployment of AI and machine learning solutions. Provides technical direction and mentorship to data scientists and engineers, translates business needs into scalable architectures, builds Python-based ML pipelines, resolves complex technical issues, and drives high-quality hands-on delivery across the full model lifecycle.

Designs and executes testing strategies for AI and machine learning applications. Responsibilities include building AI-focused test automation frameworks, functional and regression testing, test case development, API validation, test documentation, test plan execution, and root cause analysis of defects.

SLB seeks graduate-level digital technology professionals for roles spanning artificial intelligence, software engineering, data engineering and science, machine learning, IIoT, high-performance computing, QA, software security, and UX design. Employees collaborate across disciplines in global technology centers, leveraging cloud computing, advanced data ecosystems, connectivity, and emerging technologies to develop solutions for the energy industry. The program includes training and professional development.

Create and manage B2B technical content for enterprise technology audiences, including blogs, whitepapers, case studies, web copy, email campaigns, and sales collateral. Translate complex topics into executive-friendly messaging, develop SEO, AEO, and GEO strategies, collaborate with technical experts, analyze competitors and content performance, and manage editorial workflows. The role supports thought leadership, demand generation, organic search growth, and multi-channel marketing programs.

Lead cybersecurity trials and proof-of-concept engagements, translating technical findings into business value for executives and security teams. Research US regional cyber threats, create intelligence briefs and exposure reports, support partners with onboarding and co-selling, and contribute to thought leadership through events, webinars, workshops, and research-driven content. The role requires strong threat intelligence, offensive security, consulting, communication, presentation, collaboration, and self-direction skills.