Top Artificial Intelligence Jobs in Mumbai

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 end-to-end architecture and development of secure, scalable enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data patterns, and operational requirements. Provides hands-on technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with responsible AI controls. Partners with data science teams on model deployment, monitoring, and lifecycle management while driving modernization, DevOps, resiliency, and observability practices.

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.

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.

Lead end-to-end AI programs from ideation through deployment and optimization. Define objectives, roadmaps, milestones, resources, KPIs, and success metrics; coordinate AI/ML engineers, data scientists, product teams, and business stakeholders; manage risks, dependencies, budgets, vendors, and executive reporting; translate technical AI concepts into actionable plans; and ensure governance, compliance, documentation, quality, and operational improvements across multiple initiatives.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Lead Roche’s AI and digital solutions capability by defining the roadmap, identifying high-impact healthcare opportunities, and guiding solutions from prototyping through production. Manage data platform and analytics leaders, partner with AI production teams and vendors, build team capabilities, ensure regulatory and privacy compliance, and measure business impact. The role combines healthcare understanding, data literacy, commercial judgment, hands-on solution development, and strategic leadership.

Support Private Bank operating model and process excellence initiatives by analyzing data, identifying automation and AI opportunities, developing business cases, and delivering workflow, reporting, and decision-support solutions. The role coordinates business, operations, technology, and COO stakeholders; manages requirements, governance, testing, implementation, adoption, and continuous improvement while using analytics to reduce risk, improve productivity, and enhance client outcomes.

Build and optimize cyber threat intelligence systems, data pipelines, automated workflows, and tooling. Analyze data sources and APIs, maintain the threat intelligence platform, automate analyst processes, and support investigations through scripting and data analysis. Translate requirements into technical solutions, collaborate with cybersecurity stakeholders and development teams, communicate technical concepts, and maintain workflow documentation. The role requires cybersecurity experience and Python automation skills, with preferred knowledge of threat intelligence frameworks, distributed systems, security APIs, and machine learning libraries.