Top Artificial Intelligence Jobs in Mumbai

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.

The Lead AI Engineer will design and implement scalable AI services and inference pipelines, manage deployments, and mentor engineers while ensuring product delivery and operational excellence.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

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 overseeing the Technology Investment Planning process, managing project evaluations, assisting in team development, and enhancing reporting mechanisms, all while ensuring alignment with business objectives and risk management protocols.

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

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

The Senior AI Engineer II designs and develops scalable AI capabilities, optimizes ML models for business use cases, and leads data analytics talent within a collaborative environment.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

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 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.

Lead product development for an insurance-focused SaaS solution, collaborating across multiple teams and ensuring compliance and quality of deliverables.

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

The Senior Manager, Contracts oversees digital technology acquisition and non-product contracts, focusing on review, negotiation, and compliance with applicable laws and policies, while coordinating inputs from internal stakeholders.

Manage contracts for digital technologies and non-product sourcing, including review, drafting, and negotiation of agreements, ensuring compliance and collaboration with internal stakeholders.

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 technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

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.

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

Lead complex IT internal audit engagements, develop risk-based audit programs, evaluate cybersecurity measures, and prepare audit reports. Act as a trusted advisor on technology risks.

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.

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