Top Artificial Intelligence Jobs in Mumbai

Design, build, and productionize AI solutions leveraging LLMs and cloud AI services. Act as SME, lead and mentor teams, make technical decisions, and integrate generative AI, deep learning, NLP, chatbots, and image-processing models into scalable systems.

The AI Consultant will advise customers on their AI transformation journeys, define use cases for AI, and develop strategies to enhance customer experience and operational efficiency.

The Presales Consultant supports the Sales Team by providing technical presales support, conducting product demonstrations, and assisting with customer qualifications and RFP responses. They also manage Proof of Concept activities and deliver training to partners.

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.

Embed with customers to scope, prototype, and deploy production-grade agentic and generative AI solutions. Own client relationships, technical direction, delivery, optimization, observability, and mentoring of FDE squads while contributing platform feedback and rapid prototypes to drive measurable business outcomes.

KPMG India seeks an Executive for Generative AI work, leveraging Python and AI/ML technologies. Role is within KPMG's India professional services network; candidates should hold a B.E./B.Tech. Degree. Specific duties not detailed in the posting.

Design, develop, and deploy production-ready AI/ML solutions using generative AI, deep learning, and cloud AI services. Lead teams, make technical decisions, integrate models into scalable pipelines (cloud or on-prem), optimize performance, and collaborate with stakeholders to align solutions with business objectives.

As an AI / ML Engineer, you will develop applications using AI tools and Cloud services, ensuring production quality and integrating GenAI models.

Design, build, and scale ML and generative AI solutions on the Elastic Stack: anomaly detection, data frame analytics, forecasting, vector/semantic/hybrid search, ELSER, and RAG. Integrate embeddings and LLMs, deploy transformer models via Eland, create inference ingest pipelines, design data models and ingestion flows, tune retrieval and relevance, and build Kibana dashboards and ML jobs for monitoring and alerting while partnering to operationalize features at scale.

Design, build, and deploy production-ready AI/ML applications and pipelines using cloud AI services and GenAI models. Lead teams, make technical decisions, mentor members, integrate Azure ML and Python-based solutions, and ensure scalable, high-quality model deployments across cross-functional projects.

The Senior Business Analyst will design user experiences for virtual agents, gather customer requirements, create conversation flows, and act as a liaison between stakeholders and development teams in Conversational AI projects.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, model integration) for marketing, creative, media, and commerce. Sell, design, deliver, and operationalize production AI systems, collaborate with creative and media teams, and drive business outcomes. Preferred experience with modern AI/data stacks (GCP, BigQuery, Vertex AI). Based in Bengaluru.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, production deployment) for marketing, creative, media, and commerce. Sell, design, build, and operationalize AI systems, collaborate with creative and strategy teams, and drive measurable business outcomes.

Lead go-to-market strategy and execution for HPC/AI category: build and coach sales teams, drive revenue and quotas, manage complex enterprise deals, engage C-level customers, coordinate cross-functional stakeholders, provide forecasting and competitive analysis to inform product and pricing decisions.

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.

Role focused on Python-based AI/ML work within KPMG India. Posting lists a B.E./B.Tech. qualification; details on specific responsibilities or experience were not provided.

Design, build, test, and deploy production-grade AI solutions (Python, TypeScript/JavaScript) on cloud platforms. Own AI use cases end-to-end, integrate LLMs and third-party APIs, build reusable components, and provide production support, monitoring, and troubleshooting to ensure high availability.

Design, build, and deploy agentic AI solutions end-to-end for enterprise customers. Lead architecture decisions, integrate LLMs and data platforms, resolve production issues, build observability and KPI dashboards, mentor engineers, and codify reusable patterns for the Agentforce platform to drive measurable business outcomes.

The role involves developing and managing integration processes using Boomi and Workato for complex business needs in finance and operations.

The Architecture Consultant delivers multi-technology consulting services, collaborates on solutions architecture, participates in feasibility studies, and engages with clients on business development.

Design and build production-grade Generative AI solutions: benchmark and deploy LLMs, implement RAG with vector DBs, create multimodal systems and agents, drive MLOps/CI-CD, ensure security/compliance, integrate models into microservices, and support PoCs to enterprise rollouts.

Lead and grow a cross-functional AI platforms team to productionize LLM-powered solutions. Own platform roadmap, architecture, MLOps pipelines, vector DB integrations, security/compliance, and cross-functional stakeholder alignment to deliver scalable, reliable AI services.

Build and maintain backend services, frontend fixes, infra, and internal tools; integrate AI features using agentic dev tools; debug services, databases, browsers, and Linux hosts; own code lifecycle from design to on-call and monitoring.