Top Artificial Intelligence Jobs in Mumbai

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.

The role involves developing trading and portfolio management applications, requiring solid programming in multiple technologies and collaboration with teams globally.

As an AI/ML Computational Science Specialist, you will analyze and solve complex problems, develop innovative solutions, and collaborate with teams to enhance AI operations.

The AI Integration Engineer will lead AI feature development, integrate LLM technologies, collaborate with teams, and optimize workflows within data ecosystems.

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 Account Executive drives growth by managing key accounts, identifying new business opportunities, and deepening customer relationships to enhance market share.

The Senior Associate, Industrial CM role involves leveraging AI for efficient hiring processes and collaborating within the real estate sector at JLL.

The Senior Associate role involves utilizing skills in real estate and technology to contribute to JLL's global services and enhance client satisfaction through effective solutions and insights.

This role involves designing and developing AI-powered research applications for investment management, partnering with investors to integrate AI into workflows, and managing the complete application development lifecycle.

The role involves building and maintaining AI agents and applications, developing web applications, and enhancing existing systems using Agile methodology.

The Senior Software Engineer will develop and maintain AI agents and applications, modernize platforms, and enhance product experiences using various AI tools, while following Agile methodologies.

The Senior - Digital Government Advisory role requires expertise in business requirements, functional documentation, and technology integration, focusing on AI and database tools.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

Lead the software development lifecycle, design and implement backend services using Java and Scala, leverage AWS, and mentor junior engineers.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The Principal AI Engineer leads technical direction and architecture for AI services, focusing on scalable platforms, LLM, ML inference, and CI/CD automation. Responsibilities include designing systems, ensuring reliability, and collaboration with teams for AI product delivery.

Design and implement AI and ML solutions for fixed income strategies, collaborate with engineers, and evaluate models for performance while ensuring compliance with AI standards.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

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

The Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.

Lead an offshore engineering team to deliver AI-enabled software end-to-end, provide technical leadership on AI/platform architecture, manage people and delivery, align onshore-offshore collaboration, and enforce governance, quality, and operational stability.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.