Top Artificial Intelligence Jobs in Mumbai

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

The role involves leading AI/GenAI solution architecture, pre-sales engagements, and mentoring teams. Responsibilities include designing solutions, engaging with clients, and ensuring compliance.

Lead enterprise sales strategy for manufacturing and conglomerates, manage large accounts, and mentor a sales team while aligning solutions with client operational priorities.

As a Senior Software Quality Engineer, design and implement testing strategies for backend infrastructure and AI features ensuring reliability and quality across applications.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

As a Principal AIOps Engineer at Boomi, you will leverage AI and machine learning to enhance integration and automation, driving significant business impact. You'll work with cutting-edge technologies and lead teams to innovate and solve complex challenges.

Lead a team focused on developing enterprise-grade AI platforms. Oversee technical execution, drive innovation, and ensure systems meet scalability and compliance requirements.

As a Senior Principal Software Engineer, you'll lead backend architecture, mentor teams, and drive Agentic AI implementation while ensuring scalability and reliability.

The Tech Project Manager will define and execute the vision for generative AI products, manage cross-functional teams, and oversee project lifecycles to enhance competitiveness and user experience.

The role involves designing and developing scalable applications using .NET or Python, integrating AI systems, and optimizing performance for production AI systems.

The Director, Client Partner will drive strategic partnerships and revenue growth with Global Capability Centers, focusing on value creation and AI-driven modernization.

As a Senior UX Designer, you'll lead UX design for product features, apply Human-Centered Design principles, conduct user research, and collaborate with cross-functional teams to create effective design solutions for SaaS products.

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 end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

The role involves designing creative GenAI assets, developing prompt systems, and collaborating with teams to integrate AI technologies into workflows.

Own the product strategy and execution for Cogentiq's agentic capabilities, collaborating with engineering, research, and field teams to deliver value at scale. Responsibilities include defining product vision, platform architecture, managing product lifecycles, engaging clients, and ensuring governance.

The AI/ML Engineer will develop production-ready applications utilizing AI tools and cloud services, focusing on computer vision and generative AI models, while ensuring quality through effective pipelines.

The AI/ML Engineer will lead research and development in Industrial Digital Twins and AI applications, collaborating with cross-functional teams to design scalable solutions for industrial challenges.

Responsible for designing, developing, and maintaining AI/ML POCs for insurance, collaborating with teams to implement scalable solutions and data compliance practices.

The AI Client Manager audits AI Management Systems, preparing reports and collaborating with clients and teams to ensure regulatory compliance and quality service.

The role involves architecting and delivering generative AI solutions with a focus on training Large Language Models and implementing Retrieval-Augmented Generation workflows, collaborating with customers, and leading technical presentations and workshops.