Top Artificial Intelligence Jobs in Mumbai

This role involves designing AI-powered research applications, collaborating with investors, optimizing AI systems, and driving application development in investment management.

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 transforming Citi's credit risk management processes using AI. The candidate will collaborate with stakeholders, lead projects, and design user experiences to improve operational efficiency.

The Senior Associate, Data Science & AI delivers insights and AI analytics tools for Pfizer's Commercial organization, focusing on modeling, segmentation, forecasting, and effective communication of findings.

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 Technical Product Manager will define the AI product roadmap, collaborate with teams, and leverage data to enhance enterprise productivity.

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.

The role involves troubleshooting complex customer issues in EPC and 5G Core environments, participating in product deployments, and enhancing operational efficiency using AI. Responsibilities include deep technical analysis, collaboration with engineering teams, and leading improvement initiatives.

Oversee AI-driven platform's design and implementation, focusing on large-scale document extraction and modernizing workflows with advanced language models.

The role involves developing AI solutions, data pipelines, web applications, and collaborating with teams to integrate AI models into production solutions, ensuring best practices.

The Senior Manager, QA/User Testing will lead AI-driven user testing initiatives, ensuring quality, usability, and compliance for AI solutions, while managing testing strategies, stakeholder communication, and regulatory adherence.

The AI Engineer will design and deploy AI agents, develop LLMs, build robust model pipelines, and integrate solutions while ensuring compliance and performance optimization.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

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.

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.

Design, build, and scale backend systems for agentic and generative AI: implement multi-step reasoning, state/memory, RAG pipelines, tool integrations, monitoring, guardrails, and deploy services with Docker, CI/CD, and cloud while ensuring security and compliance.

Develop and scale backend systems for autonomous AI agents, including multi-step reasoning, memory/state systems, RAG/retrieval pipelines, tool integration, observability, security compliance, and automated evaluation and monitoring for reliability and safety.

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

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

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 role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

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

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

Lead and scale an engineering team building Coinbase's Help Center and AI-assisted automated chat resolution. Drive technical strategy, architecture, roadmaps, SLAs, experiments, and cross-functional collaboration to improve resolution rates, safety, compliance, and operational reliability while coaching and hiring engineers.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.