Top Artificial Intelligence Jobs in Mumbai

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.

The Senior Software Engineer will develop and maintain AI agents and applications, modernize platforms, and enhance product experiences using various AI tools, while following Agile methodologies.

The Senior Manager will lead the AI for Targeting & Segmentation program, ensuring alignment with market needs, and oversee cross-functional delivery to realize business outcomes through AI capabilities.

Design, build, and deploy ML and generative AI solutions for marketing. Create scalable data and model pipelines, RAG/embedding workflows, agent automations, and integrate outputs into dashboards while collaborating with Marketing and Analytics.

Senior GIS Data Engineer responsible for developing and maintaining geospatial datasets and data pipelines. Build, run, and optimize ETL workflows (batch to flow), transform and integrate spatial data using FME/ArcGIS/Python/SQL, ensure data quality, provide GIS consultancy, and collaborate cross-functionally to deliver scalable mapping solutions and improve processes.

Lead design, development, and deployment of production-grade ML models and pipelines for HD maps and ADAS. Own end-to-end ML architecture, implement MLOps, integrate ML outputs into map workflows, mentor engineers, conduct reviews, and drive adoption of generative, agentic, computer vision and NLP techniques for scalable, production-ready systems.

Sell and position the FICO Platform to enterprise clients in consumer lending and retail banking. Build senior stakeholder relationships, uncover decision-management opportunities, collaborate with pre-sales and internal teams to design solutions, and drive long-term, profitable customer engagements. Manage quarterly and annual sales targets and travel up to 50% to engage customers across Southeast Asia and adjacent industries (fintech, telecom, media, entertainment).

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Design, build, and operate agentic LLM-powered workflows, autonomous agents, and RAG/vector retrieval systems. Own end-to-end delivery including CI/CD, IaC, observability, DevSecOps, and Salesforce integrations to productionize enterprise AI for GTM applications.

Lead end-to-end product development for digital lending: design lending journeys, digitize servicing workflows, collaborate with engineering/ops/compliance, analyze funnel and platform metrics, and iterate post-launch to improve acquisition, conversion, retention, and operational efficiency.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

Lead engineering delivery of agentic AI solutions for GTM systems, designing LLM-powered workflows, autonomous agents, RAG/semantic search, Salesforce and Slack integrations, CI/CD and observability, mentoring engineers, enforcing AI governance and security-first practices.

Manage end-to-end technology procurement for strategic vendors: own renewals pipeline, lead RFI/RFP and negotiations, draft contracts with legal, align stakeholders, qualify suppliers, resolve post-signature delivery or commercial issues, and provide market intelligence for strategic sourcing decisions.

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 Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

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

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

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

The Academics Manager will lead K-12 curriculum development in STEM fields, ensuring pedagogical robustness and alignment with educational standards.

Create platform-optimized short- and long-form educational and marketing videos using AI-powered editing tools. Build scalable AI-assisted post-production workflows, optimise content for social platforms, transform complex topics into engaging learning experiences, and research/implement emerging AI video technologies.

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.