Top Artificial Intelligence Jobs in Mumbai

Design and evangelize agentic AI solutions by mapping customer journeys, identifying automation opportunities, architecting LLM-driven workflows and integrations, leading POCs to production, articulating ROI, engaging stakeholders, and building repeatable playbooks to enable enterprise sales.

Design, implement, test, and deploy software components for AI-powered solutions. Build and maintain CI/CD pipelines, write unit tests, integrate cloud and distributed systems, work with data engineering tools (Pandas/Spark), and collaborate with stakeholders to estimate and deliver features.

Lead architecture and development of production-grade Generative AI and agentic solutions, define technical strategy, ensure compliance/security/performance, mentor engineers and data scientists, and manage AI programs using Agile.

Lead architecture, design, and delivery of production-grade Generative AI and agentic solutions (RAG/agent-based). Define technical strategy, implement agent training and feedback loops, ensure compliance/security/performance, mentor engineers and data scientists, and manage Agile programs to drive scalable, production-ready AI initiatives.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Design and deploy agentic AI systems for logistics: architect multi-agent workflows, build retrieval pipelines and tool integrations, own agent lifecycle from discovery to production, implement guardrails/evaluation/logging, and deliver lightweight monitoring interfaces while embedding with business teams.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

The Partner AI Deployment Engineer will guide AWS engagements, shape technical strategy, build AI architectures, and mentor partners to drive successful AI deployments.

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

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

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 Principal Product Manager for Agentic AI Platform will lead the AI strategy and lifecycle, define capabilities, and ensure collaboration for scalable AI solutions in enterprise SaaS.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Invite software agencies and engineers to connect Git repositories for evaluation and potential licensing for AI training. Platform measures source-code and Git-history token volume, provides estimated licensing value and quality feedback, and pays contributors when repositories are used under license. Must own or have authority to license code and meet platform quality and legal requirements.

Provide senior accounting and finance advisory for SMBs: analyze financial data, answer complex accounting questions, review QuickBooks Online records, recommend bookkeeping workflows, reconciliations, and reporting, and advise owners and finance stakeholders.

Design, build, and deploy end-to-end agentic AI and LLM applications and predictive ML models for enterprise customers. Own full lifecycle from data exploration and model development to APIs, MLOps/LLMOps pipelines, and production deployment across cloud and on-prem. Implement guardrails, evaluation frameworks, and monitoring. Work directly with customers, contribute to pre-sales proofs-of-concept, and collaborate with cross-functional teams to deliver production-grade, secure, and maintainable AI solutions.

Maintain and optimize production LLM/VLM services and microservices (Flask/FastAPI), manage async queues, deploy and monitor Uvicorn/Gunicorn hosts, integrate LLM routing tools, design prompt strategies, build feedback/evaluation pipelines, expose secure REST APIs, and track token usage, latency, and errors to ensure SaaS-grade AI performance.

Design and deliver scalable, secure Azure Data & AI architectures; build POCs and maintain live demo environments for unified analytics and generative AI agents; lead technical qualification sessions, author proposals and architecture blueprints, respond to technical RFPs/RFIs, and collaborate with sales to drive AI-led cloud opportunities across India.

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

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 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.