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 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.

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.

Lead product development for an insurance-focused SaaS solution, collaborating across multiple teams and ensuring compliance and quality of deliverables.

Design and build AI applications and systems to enhance customer experiences in banking. Collaborate with teams to deliver AI capabilities and workflows.

The role involves managing AI and ML projects, leveraging data analytics to provide services to diverse clients, and ensuring performance-based outcomes.

Seeking a Senior Data Scientist skilled in GenAI/LLMs to design and implement solutions for enterprise, conducting research and mentoring others.

The Network for AI Sales Specialist will develop and drive long-term sales strategies, support account managers, and engage with clients to sell complex solutions, establishing significant business relationships and meeting sales quotas.

The AI Engineer will design and develop cognitive data solutions using AI technology, manage data pipelines, and lead cross-functional teams to deliver scalable solutions.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

Develop responsive front-end and robust back-end systems, collaborate on AI integrations, maintain databases, and implement DevOps practices. Emphasize on security and rapid prototyping in a dynamic, startup-like environment.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

Lead the QA strategy and architect automation frameworks for AI products. Design test approaches for AI models, influence teams, and drive quality initiatives.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

As a Senior AI Engineer, you will design and implement scalable AI systems, mentor junior engineers, and ensure impactful, ethical AI solutions. Responsibilities include collaborating with stakeholders and fine-tuning generative AI models.

The Technical Lead will design and implement advanced AI systems, lead a team, drive the development of AI features, and ensure robust model performance through evaluations and optimizations.

Lead the AI/ML team to develop anomaly detection and GenAI workflows for regulatory reporting, ensuring model explainability and validation processes. Mentor a team and advocate AI usage to improve operations.