Top Artificial Intelligence Jobs in Mumbai

Design, build, and integrate AI-enabled microservices, agents, and RAG workflows into high-code and low-code platforms. Prototype and productionize AI features, ensure secure scalable integration, implement observability and governance, mentor teams, and drive responsible AI adoption across the organisation.

The role involves building AI-powered products, designing reliable LLM-powered systems, and ensuring performance and quality. You'll collaborate in fast-paced environments and own the full product lifecycle.

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

As an AI Data Expert, you will evaluate AI-generated outputs, provide culturally relevant feedback, ensure content accuracy, and participate in quality assurance. This role requires strong analytical skills and attention to detail.

The AI Data Expert position involves evaluating AI outputs, generating content, and providing annotations to enhance AI training, all while considering cultural context. This role requires detail-oriented analysis, native language fluency, and strong English command.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

The role involves reviewing AI outputs, generating content, ensuring cultural accuracy, and providing structured feedback to improve AI models.

As an AI Data Expert, you'll evaluate AI-generated outputs, review text, analyze multimedia, and provide structured feedback based on cultural standards.

Review and evaluate AI-generated outputs, provide annotations, and contribute cultural insights to improve AI training. Requires detail-oriented judgment and strong language skills.

The AI Engineer Intern will work on building and testing LLM applications, deploying models on AWS, and experimenting with AI frameworks and transformers.

The AI Business Analyst engages business leaders to understand challenges and propose tailored AI solutions, building relationships and ensuring client satisfaction while meeting sales targets.

The AWS Conversational AI Designer role focuses on creating innovative conversational AI solutions while fostering a diverse and inclusive culture within the company.

Lead the design and delivery of SAP Finance solutions, driving process excellence and innovation in a global organization, while mentoring junior team members.

The role involves developing a new platform for managing Wholesale Credit Risk using AI technologies. Responsibilities include defining strategies, managing projects, and collaborating across teams to improve credit processes and client servicing.

The Lead Solution Architect will oversee Data, AI, and Analytics solutions across APJ, driving technical strategies, engaging stakeholders, delivering demos, and collaborating with partners.

The AI Platform Engineer will design and implement AI workflows, integrating LLMs and optimizing systems for enterprise applications, in a collaborative environment.

The role involves designing and building scalable backend services and APIs for AI workflows, collaborating with data teams, and ensuring system performance and reliability.

The AI Architect/Lead Engineer will oversee the architecture and implementation of a hybrid Agentic AI Platform, manage a small team, design systems, and ensure data security and privacy compliance.

The Data Engineer will develop data pipelines and workflows, manage storage solutions, and ensure data quality for the AI platform at TaskUs.

The Ecosystem Growth Manager will drive growth by onboarding GPU providers, attracting AI developers, and establishing partnerships for AIVM's decentralized cloud infrastructure.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The Solutions Engineer will develop AI agents, configure automations, lead technical onboarding for enterprise customers, and deliver BI reports to enhance customer success.

The role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.