Top Artificial Intelligence Jobs in Mumbai

Maps and optimizes business processes, administers SharePoint collaboration platforms, and drives adoption of generative AI productivity tools. Coordinates digital transformation initiatives, tracks milestones, develops reports and dashboards, gathers feedback, and creates training materials. The role also supports Lean Six Sigma process improvement, workflow automation, cross-functional issue resolution, and operational reporting across KYC operations.

Lead the end-to-end product experience across acquisition, onboarding, avatar selection, chat, media generation, and retention. Drive conversion, retention, and LTV through hypotheses, prioritization, A/B testing, and data-informed design. Establish the product’s design direction and design system, lead a multidisciplinary design team, and partner with product, analytics, marketing, engineering, research, and support.

Develop and deploy machine learning, deep learning, Generative AI, and LLM solutions for financial and payment data. Build fraud detection, anomaly identification, NLP, conversational AI, complaint analysis, and RAG applications. Collaborate with engineering, product, and business teams to productionize models, evaluate performance, improve scalability, and meet security, compliance, and governance requirements.

Lead AI orchestration initiatives for an internal code-assistance platform. Architect workflows and develop AI models for code generation, bug detection, validation, testing, and optimization. Integrate AI tools with CI/CD pipelines and developer environments while ensuring scalability, security, and compliance. The role requires leading AI-driven software development transformation across mission-critical payment systems using generative AI, machine learning, cloud-native platforms, and microservices.

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

Design, build, and deploy production-grade GenAI applications using LLMs, RAG pipelines, AI agents, and orchestration frameworks. Develop scalable backend integrations and cloud-native deployments across Azure, AWS, or GCP. Optimize and evaluate models, implement observability, monitoring, guardrails, and safety measures, and work with structured and unstructured data. Collaborate with cross-functional teams, contribute to AI architecture, and mentor junior engineers.

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 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 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, 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.

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.

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.

Join Welo Data’s Arabic contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary in duration and complexity, with scope, timelines, and compensation provided before participation. Candidates need native or near-native Arabic fluency, English proficiency, digital tool familiarity, and strong attention to detail.

Join Welo Data’s contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality checks. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be fluent in Malay, based in Malaysia or Indonesia, proficient in English, comfortable with digital tools, detail-oriented, and curious about technology.