Top Artificial Intelligence Jobs in Mumbai

Lead the AI Engineering team to convert research into deployable AI solutions, partner with central functions, and build reusable tools for investment applications.

The Account Executive will drive revenue growth in enterprise accounts within manufacturing by leading complex engagements, building relationships with CEOs, and managing a sales team.

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 Senior Business Development Manager will drive AI growth strategies, collaborating with teams and engaging C-level customers to enhance market success and execute initiatives.

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

Lead the development of scalable AI solutions for the International Commercial business, integrating software engineering and data science practices. Mentor junior members, oversee AI application development, and communicate insights to stakeholders to support data-driven decision-making.

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

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 role involves creating engaging digital learning content using AI tools, overseeing multimedia production, and ensuring high-quality training templates.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

The role involves determining Risk Weighted Assets for Counterparty Credit Risk, ensuring compliance with regulations, and overseeing the governance and calculation processes for Derivatives RWA.

Lead and scale GitLab's Enterprise Technology & AI operations in India, focusing on delivery excellence, QA, and building high-performing teams in a remote environment.

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 leading research projects in AI, developing prototypes, collaborating with teams, publishing research, and mentoring junior staff.

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

The Senior Product Manager will lead AI writing tool development, collaborate across teams, and utilize data for decision-making to enhance user experiences.

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 a Software Engineer in AI Quality, you will ensure the quality of AI features by developing test plans, executing tests, and documenting findings while collaborating with teams on quality strategies.

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

As a Principal Software Engineer, you will lead the design of complex backend systems, focusing on reliability, performance, and the implementation of Agentic AI capabilities while guiding team members and ensuring adherence to engineering excellence.

As a Principal Software Engineer, you'll lead the design and implementation of backend systems, advancing Agentic AI capabilities and optimizing microservices across cloud environments while providing technical leadership to the team.

The role involves leading product management for data science and AI initiatives, defining roadmaps, engaging stakeholders, and driving adoption of AI products across teams.

Lead the design and deployment of AI/ML solutions for customers, collaborating with cross-functional teams and driving product direction. Mentor junior engineers and ensure compliance with regulations.

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