Top Artificial Intelligence Jobs in Delhi

Lead full-cycle recruiting for complex engineering roles across distributed systems, cloud, security, data, and AI/ML in India. Advise engineering leaders on leveling, team design, location strategy, and market intelligence. Build diverse sourcing pipelines, conduct technically credible screens, close senior candidates, improve hiring processes, and lead talent acquisition initiatives. Mentor peers and establish recruiting standards for technical hiring.

Provides systems safety engineering for aircraft turbine engines and power systems. Conducts hazard, reliability, and root cause analyses; develops safety requirements, plans, procedures, and reports; reviews designs for regulatory compliance; manages requirements using DOORS; supports certification and qualification; collaborates cross-functionally on risk mitigation, reliability metrics, process automation, and AI-enabled safety improvements.

Provides technical leadership for FAA and EASA certification and qualification of aircraft turbine engines and auxiliary power units. Prepares and reviews certification and qualification plans, reports, and related artifacts; coordinates with aviation regulators; standardizes and improves certification processes; and applies automation and artificial intelligence to reduce cycle time and cost. Supports systems engineering activities, talent development, technical coaching, and innovation across Honeywell Aerospace programs.

Conduct STEM and emerging-technology workshops, demonstrations, presentations, and hands-on learning activities for school audiences. Research innovation trends, develop educational content and programs, demonstrate robotics, AI, ML, and maker-space concepts, and collaborate with internal teams. The role requires strong public speaking, mentoring, communication skills, a personal laptop, bilingual English and Hindi proficiency, and willingness to travel for school visits and workshops.

Manage digital-native customer accounts throughout the sales lifecycle, from pipeline generation and complex deal strategy through deployment and renewal. Own revenue targets and forecasts, develop account plans, analyze account and market intelligence, and advise C-level stakeholders on AI adoption. Collaborate with solutions, engineering, marketing, finance, product, and operations teams to deliver customer programs, influence product strategy, and support team growth.

Graduate Management Trainee supporting end-to-end e-commerce and performance marketing campaigns. Responsibilities include coordinating cross-functional teams, maintaining campaign plans and readiness trackers, managing launch assets and quality checks, analyzing performance, leading post-mortems, and improving campaign processes through automation and AI-enabled workflows. The role requires strong organization, communication, data analysis, stakeholder coordination, and ownership in a fast-paced environment.

Lead international expansion of AI-enabled agricultural weather forecasting programs. Responsibilities include selecting new markets, establishing offices and teams, developing government and telco partnerships, overseeing forecast deployment, managing staff and consultants, and building replicable best practices. The role reports to the VP of Agriculture, manages senior personnel, and requires extensive collaboration with governments, researchers, delivery partners, and private-sector organizations across low- and middle-income countries.

Manage APAC mid-market accounts, develop regional go-to-market strategies, win lighthouse customers through outbound sales, and drive consumption revenue. Partner with solutions, research, engineering, and channel partners on complex customer programs. Responsibilities include revenue forecasting, executive engagement, customer events, teammate onboarding, and helping build scalable sales processes for an AI-native organization.

Build and operate production software and AI systems across cloud infrastructure. Responsibilities include developing APIs and services, operating RAG and inference platforms, implementing CI/CD and observability, managing AWS or GCP environments with Kubernetes and Terraform, optimizing model serving and GPU usage, controlling cloud and AI costs, and partnering with stakeholders on reliability, security, governance, and technical tradeoffs.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Own pedagogical and assessment integrity for AI-based foundational literacy and numeracy tools across multiple countries. Design learning and assessment logic, validate AI-scored outputs, adapt content to languages and curricula, manage field data collection and multi-country rollout, maintain implementation trackers, and engage governments, partners, and funders. Develop M&E frameworks, reporting inputs, proposals, and policy-ready insights while ensuring pedagogical validity, data quality, and assessment reliability.

Owns data collection and annotation operations, defines product specifications and user flows, and supports apps and internal tools through delivery. Manages field teams, implementation partners, pilots, feedback loops, product metrics, and deployment improvements. The role also contributes to grant and partnership work while collaborating with engineering and ML teams. Candidates need product or delivery experience, technical fluency, data comfort, field deployment exposure, and familiarity with AI or ML products and data protection.

Lead complex technology projects from planning through closure, managing scope, budgets, schedules, resources, dependencies, risks, governance, and stakeholder communication. Coordinate engineering, product, QA, operations, consulting teams, vendors, and clients. Manage Agile execution, documentation, compliance, executive reviews, and government or public-sector engagements. Mentor teams, improve delivery processes, support pre-sales and proposals, and ensure predictable, high-quality project outcomes.

Manages science and technology initiatives for sustainable industrial fisheries. Leads multidisciplinary projects involving electronic monitoring, AI, machine learning, computer vision, data systems, hardware, software deployment, and seafood traceability. Oversees vendors, contractors, budgets, procurements, technical assessments, and deployment of systems in remote environments. Translates technical concepts for diverse stakeholders and supports technology evaluation, scaling, and conservation strategy. The role may require domestic and international travel of 25% or more.

Drives growth through complex, high-value sales opportunities across data, analytics, AI, and SaaS solutions. Owns the full sales cycle, expands executive stakeholder networks, supports strategic renewals, leads workshops, and communicates measurable customer value. Partners with account managers and cross-functional teams in enterprise, academic, and government environments. Extensive regional travel and engagement with senior stakeholders are required.

Lead architecture for enterprise AI initiatives across products, platforms, and shared capabilities. Define AI architecture standards, reference patterns, governance, security, and operational guardrails. Guide solutions involving LLM applications, retrieval systems, agentic workflows, orchestration, evaluation, observability, and cloud-native platforms. Partner with business, product, and engineering leaders, influence strategic decisions, mentor technical teams, and support AI-enabled software development and platform modernization.

Owns the full sales cycle for complex, high-value AI research workspace opportunities, from prospecting and discovery through negotiation and closure. Builds executive stakeholder relationships, generates new business, supports strategic renewals, leads workshops, develops business cases, and communicates measurable value from AI-powered research and knowledge workflow solutions. Requires enterprise sales expertise, AI fluency, consultative selling skills, and extensive regional travel.

Supports government-to-government AI and digital transformation engagements by researching partner countries, maintaining the country pipeline, drafting dossiers and proposals, coordinating delegations and exchanges, documenting meetings, and preparing milestone and funder reporting. The role requires clear writing, strong organization, public-source research skills, and interest in government and funder decision-making. Exposure to digital government, international work, languages, spreadsheets, or Python is useful but not required.

Leads the DPI and Digital Governance consulting domain and the ICDIA programme. Owns offerings, quality, revenue pipeline, client and funder relationships, milestone-based delivery, budgets, risk management, team leadership, ecosystem engagement, and handover planning. The role requires extensive digital government or development consulting experience, multi-country programme leadership, donor-funded delivery expertise, knowledge of India’s DPI ecosystem, technical fluency, and willingness to travel 30 percent.

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.

Own the end-to-end product experience for agentic AI products, partnering closely with the CPO, design, and engineering. Responsibilities include defining the roadmap, features, UX improvements, onboarding, in-app education, and product marketing content. The role requires deep product exploration, data-driven prioritization, identifying friction and gaps, creating comprehensive PRDs and prototypes, and shipping simple, high-impact improvements in a fast-moving startup environment.

Evaluate datasets and AI-generated outputs for accuracy, relevance, consistency, and quality. Provide written feedback to improve AI system performance, follow project guidelines, support quality assurance, and communicate findings clearly. The role requires strong critical thinking, analytical reasoning, attention to detail, organization, and independent work in a remote environment. Prior AI experience is not required; data annotation, content evaluation, quality assurance, research, and AI project experience are preferred.

Develops generative AI and agentic AI applications using LLMs, Python, RAG, vector databases, and frameworks such as LangChain and LangGraph. Builds AI agents integrating tools, APIs, databases, and enterprise services; develops FastAPI services; applies prompt engineering, model evaluation, optimization, and security practices; and reviews AI-generated code within Agile software development processes.

Develop generative AI applications and agentic workflows using Python, LLMs, RAG, vector databases, and frameworks such as LangChain, LangGraph, and LlamaIndex. Build AI agents integrating APIs, tools, databases, and enterprise services. Develop FastAPI REST APIs, apply machine learning libraries, optimize prompts and model performance, evaluate responses, detect hallucinations, and secure AI-generated code. Collaborate within SDLC and Agile development practices.

Deploys at utility customer sites to drive product adoption, observe platform usage, document UI, functionality, and analytical issues, and manage feedback with engineering. Builds relationships across customer organizations, presents demos to senior utility leaders and IAS officers, validates platform outputs against customer data, closes the loop on shipped features, and identifies expansion opportunities. Requires strong writing, technical curiosity, ownership, and comfort using AI tools.