Top Artificial Intelligence Jobs in Mumbai

Leads end-to-end delivery of AI-powered Customer Care and Order-to-Cash solutions, including Agentic AI, intelligent case management, query routing, automated resolution, and human-in-the-loop workflows. Owns project planning, functional design, testing, deployment, AI model validation, stakeholder and vendor coordination, adoption, and post-go-live support. Requires strong SAP SD, Customer EDI, OTC, Customer Care, AI/ML, cloud technology, DevOps, and project management expertise.

Shape the Customer Care product across order-to-cash processes, translating business needs into scalable workflows, data requirements, integrations, and technology solutions. Lead SAP-informed solution design, roadmap development, transformation initiatives, analytics, AI-enabled service capabilities, testing, and vendor/SI partner management. Collaborate with business, architecture, integration, data, product, and delivery teams to improve customer service effectiveness, exception handling, visibility, and operational performance.

Leads architecture, engineering strategy, modernization, and delivery for enterprise-scale application and data platforms supporting global post-trade operations. Guides distributed systems and integration design, establishes standards for resilience and security, translates business priorities into technology roadmaps, manages strategic trade-offs, and develops senior engineering talent. The role also drives AI-enabled engineering and automation while maintaining governance and operational excellence.

Drive new business and acquire customer accounts across a Mumbai territory. Responsibilities include prospecting, managing end-to-end sales cycles, building pipeline with SDRs, partnering with Sales Engineers, forecasting, reporting, and exceeding quotas. The role also supports subscription renewals and cross-selling. Candidates should be technically adept, persuasive, disciplined, coachable, and experienced in selling complex solutions to executives and technical evaluators. Cybersecurity, SaaS, cloud-native security, and EDR experience are advantageous.

Provides systems safety engineering for aircraft turbine engines and power systems. Conducts hazard, reliability, and root cause analyses; develops safety requirements, plans, procedures, and reports; reviews designs for regulatory compliance; manages requirements using DOORS; supports certification and qualification; collaborates cross-functionally on risk mitigation, reliability metrics, process automation, and AI-enabled safety improvements.

Provides technical and domain expertise during sales cycles for ServiceNow solutions. Leads discovery workshops, product demonstrations, customer and partner technical discussions, competitive positioning, and solution development. Partners with sales, product management, marketing, and professional services teams to support pipeline growth and revenue goals. Contributes product feedback, reusable best practices, and marketing event support while managing an assigned territory.

Provides technical leadership for FAA and EASA certification and qualification of aircraft turbine engines and auxiliary power units. Prepares and reviews certification and qualification plans, reports, and related artifacts; coordinates with aviation regulators; standardizes and improves certification processes; and applies automation and artificial intelligence to reduce cycle time and cost. Supports systems engineering activities, talent development, technical coaching, and innovation across Honeywell Aerospace programs.

Lead and establish the Mumbai Core Risk Governance technology and risk team, deliver data, analytics, automation, and AI-enabled solutions, ensure controlled production-grade deployments, enforce governance, and partner with stakeholders to strengthen investment risk oversight and operational resilience.

Leads process systems engineering for global content operations, designing and scaling tools, workflows, and technical solutions. Responsibilities include mentoring engineers, improving database integrity, automating processes, performing root-cause analysis, supporting software development, leading pilots and launches, conducting spatial analytics, and managing cross-functional technical programs. The role requires expertise in geospatial technologies, software engineering, data analysis, cloud platforms, AI/ML, Agile delivery, and operational readiness.

Develop scalable SAP S/4HANA solutions following Clean Core principles, including ABAP, CDS, OData, APIs, Fiori integrations, and SAP BTP extensions. Manage governance and traceability through SAP Cloud ALM, support analytics using SAP Analytics Cloud and Datasphere, and integrate AI/ML capabilities into SAP processes. Responsibilities include architecture, debugging, performance tuning, documentation, technical design, reporting, deployment, and collaboration with functional and data teams.

Analyzes commercial, marketing, sales, and omnichannel data to identify trends, opportunities, and risks. Develops dashboards, KPI reports, forecasts, scenario analyses, and actionable recommendations for senior stakeholders. Partners with data science, IT, marketing, sales, and external providers to improve data quality, governance, reporting, and AI-enabled productivity. Supports compliant data use, promotes data literacy, and may mentor junior analysts.

Build Python-based tools for layout, animation, matchmove, and previs artists working with complex CG scenes. Develop scene-management systems, asset and animation library integrations, and 3DEqualizer data import/export workflows. Collaborate with product owners and stakeholders in an Agile environment, contributing across design, development, maintenance, and pipeline integration. Work may include front-end and back-end development for high-end VFX and feature animation pipelines.

Lead the technology vision and product engineering strategy for a consumer fintech startup. Architect secure, scalable AI-powered platforms, build and manage a high-caliber engineering team, recruit technical talent, and drive products from MVP through scale. Partner closely with founders, product, and business leadership to deliver innovative customer-focused solutions and establish a strong engineering culture.

Leads supply chain data governance and ecosystem initiatives, including roadmap development, backlog prioritization, stakeholder alignment, data quality standards, performance tracking, and scalable solution delivery. Partners with business, technology, and external teams; translates requirements into tools and processes; evaluates new technologies; and coaches data stewards to improve governance capabilities and decision-making.

Owns the vision, roadmap, delivery, adoption, and value metrics for AI products across Pfizer’s international commercial portfolio. Translates business priorities into technical backlogs and acceptance criteria, coordinates agile delivery, UAT, releases, vendors, and production handoffs, and guides solutions from prototypes to enterprise-grade systems. The role also supports AI prototyping, stakeholder alignment, user engagement, documentation, and integration across data, platform, security, and commercial teams.

Lead the delivery of AI products across international markets by coordinating internal engineers, contractors, and vendors. Establish engineering standards, make technical decisions, review code, ensure testing and release readiness, and guide solutions from proof of concept through enterprise production. Oversee data, AI, generative AI, agentic AI, and full-stack applications while managing dependencies, technical debt, and delivery quality. Collaborate with product, engineering, data science, security, and global stakeholders, and evaluate emerging technologies.

Lead the architecture, development, deployment, and monitoring of production-grade machine learning systems for high-definition, ADAS, ISA, and IVI maps. Lead work across computer vision, NLP, deep learning, Generative AI, Agentic AI, MLOps, data ingestion, model training, inference, and scalable cloud or in-vehicle deployment. Provide technical leadership, conduct architecture and code reviews, integrate ML outputs with mapping workflows, and translate business requirements into reliable ML system designs.

Own presales and lead-conversion product initiatives, including lead scoring, prioritization, workflow automation, intervention orchestration, CRM optimization, and funnel analytics. Partner with Sales, Business, Engineering, Data, and Product teams to build scalable systems, improve conversion efficiency, reduce operational effort, and measure outcomes. Lead the full product lifecycle from discovery through launch and iteration, while mentoring Product Managers and influencing senior stakeholders.

Manage APAC mid-market accounts, develop regional go-to-market strategies, win lighthouse customers through outbound sales, and drive consumption revenue. Partner with solutions, research, engineering, and channel partners on complex customer programs. Responsibilities include revenue forecasting, executive engagement, customer events, teammate onboarding, and helping build scalable sales processes for an AI-native organization.

Drive strategic growth across key accounts by identifying new business, expanding customer relationships, and aligning SUSE’s Linux, Kubernetes, cloud, edge, AI, and security solutions with client objectives. Manage consultative enterprise sales cycles from prospecting through negotiation, closing, and customer handoff. Maintain CRM data, forecast pipeline, develop account plans, monitor competitors, pursue upsell and cross-sell opportunities, and collaborate with presales, partners, specialists, and customer success teams.

Leads the engineering strategy and delivery of AI-ready data products from requirements through production. Architects reusable pipelines, deployment standards, CI/CD, testing, observability, and DevSecOps practices. Partners with product owners and global commercial stakeholders to translate business needs into technical solutions. Builds and mentors an India-based AI data engineering team, establishes engineering standards, and oversees contractors and vendors.

Leads go-to-market activation for Microsoft’s AI Workforce solution in India. The role drives sales and marketing alignment, solution-play execution, pipeline acceleration, demand generation, field enablement, partner collaboration, performance tracking, and data-driven improvements. It serves as a thought leader and customer, partner, and field advocate while coordinating cross-functional teams to translate global strategy into local execution and improve seller effectiveness.

Provides physical and electronic security consulting for projects across the Middle East. Designs integrated security systems, physical site hardening, surveillance, access control, intrusion detection, and networked solutions. Applies security standards, defense-in-depth, and CPTED principles; produces AutoCAD and BIM documentation; prepares proposals and client presentations; and manages project deliverables, schedules, budgets, and coordination with other disciplines. Requires extensive security design and proposal-writing experience, strong communication skills, and travel across the region.

Leads client acquisition, account growth, revenue, profitability, forecasting, and complex deal pursuits across banking, financial services, and insurance accounts. Builds executive relationships, develops enterprise account strategies, cross-sells technology and consulting services, identifies expansion opportunities, and governs transformation programs. Partners with sales, consulting, delivery, architecture, cloud, security, data, AI, and infrastructure teams to deliver measurable client outcomes. Requires extensive BFSI and IT services experience, large portfolio management, executive influence, and travel up to 60%.

Leads hyperscale enterprise sales for a data center business, developing market strategies, managing strategic client relationships, negotiating contracts, preparing proposals, coordinating solution delivery, forecasting performance, and building a high-performing sales team. The role also supports brand positioning, marketing collaboration, competitor analysis, and adoption of digital and AI advancements.