Top Artificial Intelligence Jobs in Delhi

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Leads enterprise AI and Generative AI solution architecture across pre-sales, proposals, RFPs, discovery workshops, demos, prototypes, and proof-of-concepts. Designs scalable LLM, RAG, agentic AI, cloud, data, and integration architectures; supports estimation, feasibility, and risk analysis. Develops reusable AI accelerators, reference architectures, thought leadership content, and innovation roadmaps while mentoring pre-sales teams and engaging executive stakeholders.

Lead the architecture and development of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems for intelligent networking. Drive the full software lifecycle from design through production operations, establish technical direction, mentor engineers, and improve system reliability, security, observability, performance, and scalability.

Lead the technical vision, architecture, development, testing, deployment, and operations of scalable AI infrastructure, distributed microservices, real-time data platforms, and agentic AI systems. Build secure, resilient, observable services processing high-volume network data; guide technical strategy, improve engineering practices, and mentor engineers. Translate complex technical challenges into production-ready solutions across intelligent networking, cloud platforms, analytics, and automation.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drives technical vision, builds secure and observable production services, mentors engineers, leads technical discussions, and improves system reliability and performance. Requires extensive software engineering and distributed systems experience, proficiency in a general-purpose programming language, cloud expertise, and familiarity with AI, stream processing, network telemetry, or large-scale analytics.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems. Defines technical strategy, builds secure and observable production services, processes high-volume network data, and mentors engineers. The role requires hands-on software engineering leadership across the full lifecycle, including design, coding, testing, cloud deployment, operations, and technical reviews.

Lead the architecture and development of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drive the full software lifecycle, establish technical direction, mentor engineers, and ensure production systems are secure, observable, resilient, and highly performant.

Lead the architecture, development, testing, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems. Define technical vision, build secure and observable production services, process high-volume network data, mentor engineers, and guide technical strategy across intelligent networking and cloud-native platforms.

Lead the architecture, development, testing, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data platforms, and agentic AI systems. Define technical vision, build secure and observable high-performance services, process large-scale network data, and integrate intelligent networking capabilities. Mentor engineers, lead technical discussions and reviews, improve system reliability and performance, and translate complex technical challenges into production-ready solutions.

Lead the architecture and development of scalable, secure, observable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drive technical vision, software delivery, system reliability, and operational excellence while mentoring engineers. Build production platforms processing high-volume network and operational data, integrating cloud infrastructure, machine learning, telemetry, and automation capabilities.

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

Own the strategy, roadmap, and delivery of AI and geospatial products from proof of concept through production. Lead prioritisation, PRDs, QA, releases, observability, evaluation, and responsible AI practices. Develop agentic workflows, retrieval systems, forecasting, recommendations, and decision-support tools for government users. Drive adoption, partnerships, stakeholder alignment, and measurable policy impact across ministries, enterprises, and mission-driven organisations.

Support administrative digital transformation by identifying inefficient processes and implementing AI-powered tools, automated workflows, dashboards, trackers, and documentation systems. Responsibilities include researching automation platforms, integrating solutions with existing systems, developing SOPs and user guides, training staff, monitoring effectiveness, ensuring data confidentiality and accuracy, and collaborating across departments to improve operational efficiency.

Senior Data & AI consultant responsible for designing, developing, and delivering cloud data and AI solutions on Microsoft platforms. Lead data engineering, platform modernization, ML readiness, MLOps, and Azure-based deployments while collaborating with customers and teams to drive adoption and technical excellence.

Design, build, evaluate, and deploy production-grade autonomous and multi-agent AI systems for cybersecurity detection and response. Develop LLM orchestration, tool use, memory, planning, RAG, evaluation, observability, and failure-recovery capabilities. Optimize agents for accuracy, latency, cost, reliability, and scalability while partnering with security researchers, platform engineers, and product teams to automate security workflows.

Own GridRay’s content strategy and digital presence across search, social, and AI discovery platforms. Create and optimize content for SEO, AEO, GEO, and LLM-based discovery; build repeatable workflows; manage LinkedIn and social voice; structure content with metadata, schema, and internal linking; and track the full funnel from content touchpoint to signup using analytics. The role also requires continuous experimentation, AI integration, automation, and independent research.

Contribute to AI data projects through language data annotation, evaluation, and instruction creation. Work remotely with flexible hours to help develop more inclusive and capable AI systems. Applicants must be native or near-native Simplified Chinese speakers living in China, Canada, the United States, or Malaysia, with fluent English, comfort using digital tools, strong attention to detail, and curiosity.

Join Welo Data’s remote contributor network for future AI data projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural or linguistic accuracy review. Contributors must have native or near-native Twi fluency, English proficiency, digital tool comfort, and strong attention to detail. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join a remote Albanian-language AI contributor network supporting flexible annotation, evaluation, and prompt-creation projects. Work may include labeling text, images, or audio; assessing search results, advertisements, and chatbot responses; creating prompts for large language models; and ensuring cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Freelance remote contributors support AI language-data projects through annotation, evaluation, prompt creation, and Korean-to-Chinese machine-transliterated lyric review. Responsibilities include assessing meaning, fluency, naturalness, and accuracy; rating quality against defined criteria; correcting errors; and providing feedback to improve AI systems. Projects are task-based, flexible, and dependent on availability.

Join Welo Data’s global contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Native or near-native Javanese fluency, English proficiency, digital tool familiarity, and attention to detail are required. This is a talent community rather than an active job opening.

Join Welo Data’s Dutch talent network for potential flexible, remote AI-data projects. Contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Native or near-native Dutch, English proficiency, digital-tool comfort, and attention to detail are required.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills and availability, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and assess cultural and linguistic accuracy. Native or near-native Somali fluency, English proficiency, digital tool comfort, attention to detail, and curiosity are required. This is a talent community application, not an active job opening.

Join Welo Data’s Serbian AI contributor network for flexible, remote projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants need native or near-native Serbian fluency, English proficiency, digital tool comfort, attention to detail, and residence in Serbia, Bosnia and Herzegovina, or North Macedonia.

Join Welo Data’s remote Maltese AI contributor network. Depending on project needs, contributors annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create and test prompts for large language models; and review cultural and linguistic accuracy. Projects may last several days to weeks, with scope, timelines, and compensation provided before participation. This is a talent community rather than an active job opening.