Top Artificial Intelligence Jobs in Mumbai

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

Lead the strategy and execution for AI platform services, collaborating with engineering and design teams to deliver automated customer outcomes within cybersecurity operations.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

The Software Development Engineer in Test (SDET) designs and maintains automation frameworks using Microsoft Playwright, integrates AI tools for test generation, and performs API testing while collaborating with a global team.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

The AI Engineer will develop, implement, and maintain AI systems and algorithms, ensuring data quality and deploying models in production. They will collaborate with teams to build data pipelines and ensure AI solutions meet requirements.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design, build, and scale no-code/low-code automation workflows and AI agents across business functions. Analyze processes, integrate systems via APIs/webhooks, implement OpenAI/Claude-powered solutions, build decision and scoring frameworks, deliver client-facing automation projects, and produce documentation and reusable playbooks to improve operational efficiency.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Execute fashion design briefs using Raspberry AI to produce flats, tech packs, colorways, prints, mood boards, and concept visuals. Translate creative direction into precise prompts, iterate on feedback, maintain brand-consistent quality, document workflows, flag platform issues, and partner with US Customer Success for intake and delivery under tight turnarounds.

Design and build production LLM-based agent systems, governance knowledge pipelines, hybrid retrieval and evaluation frameworks, and platform infrastructure. Implement behavioral shaping, observability, and constraints to ensure agents align with governance and compliance requirements, collaborating with product and data teams.

Lead design, training, and fine-tuning of large-scale ML/DL models (LLMs and generative systems) for drug discovery. Build scalable training pipelines, data pipelines, and production-ready model deployments; collaborate with engineering teams; translate research into applied AI solutions and continuously improve model performance and reproducibility.

Lead an AI-first transformation of procurement operations: assess Source-to-Pay maturity, design automation and LLM data governance, select and deploy S2P and CLM technologies, implement RPA/ML solutions, enable high-fidelity spend categorization and supplier compliance automation, and drive stakeholder integration and change management with IT and executive leadership.

Design and deliver enterprise AI solutions on SAP BTP: build/deploy ML models (AI Core/Launchpad), integrate Joule across SAP products, prototype AI use cases, create intelligent workflows with SAP Build Process Automation, define AI architecture, MLOps pipelines, and multi-cloud integration patterns aligned with Clean Core.

Build and productionize LLM-powered agents, workflows, and RAG systems. Apply prompt engineering, embeddings, fine-tuning, and traditional ML to automate tasks and improve products. Mentor teammates and help design scalable, production-grade AI infrastructure while staying current on LLM advances.

As a Senior Full Stack Developer, you will design and build end-to-end features across backend and frontend using .NET and React, collaborate on system architecture, and integrate AI capabilities.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

The AI Engineer will maintain and enhance AI services on the Sootra platform, optimizing pipelines, managing microservices, and developing feedback systems to improve AI performance.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Design and build the core intelligence layer for enterprise AI workflows: document extraction, retrieval, ranking, generation, evaluation pipelines, agentic task execution, and integration into a polished product while prioritizing accuracy, traceability, and human-in-the-loop review.

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.