Top Artificial Intelligence Jobs in Mumbai

Design and architect AI/GenAI solutions on GCP; create architecture diagrams; develop, deploy, and optimize ML models; preprocess and manage large datasets; provide technical guidance to engineering teams; and present solutions to clients.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Design, build, test, and ship production AI-enabled software and reusable platform components. Integrate AI services, APIs, retrieval patterns, and business logic. Collaborate with U.S. partners, write tests, participate in code reviews and on-call rotation, debug production issues, and mentor junior engineers.

Serve as the bridge between client leadership and engineering to identify high-value AI opportunities, map current processes, design future-state solutions, write implementation-ready specifications, prioritize initiatives, align stakeholders, and stay close to builds to ensure delivered systems match business goals. Requires fluent Spanish and English and rapid, iterative delivery.

Remote product associate who partners with customers to discover business needs, design and implement AI-powered solutions end-to-end, and deliver production-ready implementations working closely with the SF product team. Role is customer-facing, involves live meetings and offline solution-building, and supports part-time or full-time engagement across Europe and the Americas.

Work with customers and the SF product team to gather requirements and implement end-to-end AI solutions. Normalize, transform, visualize data, build integrations with external APIs, and deliver practical automation and product feedback. Role is customer-facing and requires technical problem-solving and fast execution.

Build and maintain backend services, frontend fixes, infra, and internal tools; integrate AI features using agentic dev tools; debug services, databases, browsers, and Linux hosts; own code lifecycle from design to on-call and monitoring.

Develop, optimize, and deploy computer vision algorithms (detection, recognition, tracking) across GPUs, TPUs, FPGAs, and edge devices. Integrate and tune hardware, accelerate models with TensorRT/OpenVINO/ONNX, collaborate with cross-functional teams, and maintain production AI systems for performance, reliability, and efficiency.

The Senior Software Engineer will lead the design and development of AI-driven solutions, mentor junior engineers, and optimize AI/ML models for various applications.

Lead architecture and build of an in-house agentic AI stack to replace third-party SaaS for claims adjudication, FWA detection, and provider network automation. Design backend pipelines for NHCX/FHIR, develop scalable distributed systems, deploy Vertex AI/Gemini models and agentic workflows, and deliver real-time risk scoring and provider trust signals while working onsite in Mumbai.

Lead design and delivery of a GCP-native, agentic AI insurance core replacing SaaS systems across product, pricing, quoting, underwriting, and policy accounting. Build multi-agent pipelines, RAG/LLM solutions, and secure, auditable architectures handling PHI/SPDI while integrating national healthcare exchanges.

Work across growth, funnel analytics, user research, product QA, competitive market analysis, and ad hoc operational tasks. Own outbound/paid campaigns end-to-end, identify funnel drop-offs, run user interviews, test product releases, and drive fixes and launches.

Lead architecture and engineering for multi-agent LLM systems: design orchestration, build reusable agent components, set CI/CD and deployment standards, evaluate LLM providers, mentor senior engineers, and produce operational runbooks and documentation for agentic AI deployments.

Architect and implement enterprise AI solutions using Databricks AI Gateway and related cloud AI services; design agentic AI workflows, ensure model governance, observability, and integration across hybrid environments; mentor junior architects and support sales pursuits and proofs of concept.

Lead architecture and engineering for multi-agent LLM systems, build agent components and orchestration pipelines, set engineering standards, mentor senior engineers, evaluate LLM providers, and produce operational runbooks and deployment patterns for client implementations.

Lead design and implementation of scalable software and GenAI solutions for Business Banking Technology. Build RAGs and agentic AI systems, contribute to architecture, mentor engineers, run experiments with AI tooling, ensure high-quality microservices on cloud platforms, and collaborate across teams to deliver reusable, production-ready integrations.

The AI Livestream Specialist will design and execute livestream experiences using generative AI, managing collaborations and enhancing production quality while staying updated on trends.

Design, build and deploy AI agents, automation workflows and system integrations using Azure AI, OpenAI and Microsoft Power Platform. Automate business processes, create dashboards and data pipelines, integrate Microsoft Business Central/SharePoint/365 with third-party systems, and lead projects from requirements through deployment and user training.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

Build data integrations and tooling that combine CRM, product telemetry, support, billing, and other signals to provide GTM teams with context, automation, and real-time augmentation. Enable account prioritization, allocation, and funnel conversion tracking to increase revenue and save time across sales, marketing, growth, and customer success.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.