Top Artificial Intelligence Jobs in Mumbai

Seeking a Senior Technical Architect to lead enterprise AI transformation with Agentforce and Data 360. Responsibilities include technical architecture, customer engagement, pre-sales contributions, delivery oversight, and internal innovation.

The QA Analyst will perform manual testing, create test cases, utilize AI tools, assist with automation, and collaborate with teams.

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.

The Enterprise Account Executive is responsible for driving revenue growth in Marketing Cloud, Data, and AI, managing the entire sales cycle, building a pipeline, and engaging C-level stakeholders to close high-value deals in enterprise accounts.

We are seeking a Senior Developer for automation and analytics projects, focusing on integration processes using Dell Boomi and Workato. Responsibilities include solution development, documentation, and client relationship management in both cloud and on-premise environments.

Manage design and deployment of integration solutions using Boomi and Workato, ensuring successful implementation and troubleshooting of integration processes.

The AI Product Manager will lead product discovery and strategy, prototype solutions using AI tools, perform competitive analysis, track product metrics, advocate for user experience, and collaborate with different teams.

Lead the strategy and execution of Generative AI products across EMAP, driving innovation, product adoption, and aligning with customer needs and regulatory standards.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

The Senior Product Manager - AI Platform will lead the development of AI infrastructure and enhance platform capabilities, ensuring efficient AI feature delivery and governance.

The Senior Product Manager - AI Growth will drive AI product adoption, engagement, and monetization, managing UI/UX, experimentation, and metrics for growth initiatives.

The role involves facilitating client workshops, mapping workflows, defining business metrics, and delivering AI-driven solutions. It requires strong communication skills and hands-on AI experience.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

Lead AI strategy and implementation for content processing at scale: research and prototype LLM and CV solutions, design robust, high-throughput AI services and pipelines, solve production ML challenges (latency, variance, observability), and mentor engineering teams to deliver mission-critical AI features.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

The AI Manager will lead a global team in AI project delivery, manage AI roadmaps, oversee LLMOps pipelines, and engage with stakeholders while ensuring compliance and performance metrics are met.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

Lead the design and development of Generative AI systems, creating LLM-powered applications, optimizing performance, and mentoring engineers.

The AI Solution Architect will lead the development of the EisnerAI Platform, focusing on integration, model evaluation, and AI governance to enhance client services.

The Director of AI will lead Kroll's AI strategy, ensuring ethical deployment, managing a multidisciplinary team, and enhancing AI capabilities through innovative architectures and governance practices.

Lead AI transformation engagements, overseeing client relationships and project delivery while mentoring consultants. Requires deep AI fluency and commercial instincts.

Design and build scalable applications using modern technologies, focusing on frontend and backend development, cloud platforms, and AI integrations. Responsible for security, governance, operational excellence, and architectural alignment.