Top Artificial Intelligence Jobs in Mumbai

Leads Pfizer’s India Integrated Insights & Strategy function, advising commercial executives through analytics, market research, forecasting, and data-driven brand and portfolio strategy. Owns the analytics roadmap, budget, performance measurement, PMR strategy, vendor partnerships, and resource allocation. Oversees advanced analytics, AI/ML, customer segmentation, targeting, field-force sizing, and launch planning while developing a high-performing team and coordinating with regional and global GCA stakeholders.

Supports APAC Risk leadership by managing strategic workstreams, executive requests, governance, reporting, dashboards, and business analysis. Translates priorities into structured plans and clear narratives, improves workflows through AI, LLMs, analytics, and automation, and drives risk controls, audit actions, regulatory deliverables, and team initiatives across regional and global stakeholders.

Leads EMEA Fund Services NAV Operations, overseeing operational teams, risk-based governance, service delivery, reporting, client and regulatory relationships, and strategic transformation. The role drives operational efficiency, change management, digital and AI initiatives, stakeholder engagement, workforce development, and execution of regional and global priorities.

Leads technical programs and cross-functional initiatives for Asset and Wealth Management Technology India. Responsibilities include employee engagement, communications strategy, change management, events, executive messaging, stakeholder management, process improvement, risk planning, and program governance. The role also promotes AI-assisted workflows, manages shared technology capability initiatives, and ensures quality through validation, reporting, and strategic communication.

Drive new SaaS business revenue through account and territory planning, prospect research, relationship development, and field sales. Build trusted relationships with C-suite executives, lead account strategies across cross-functional teams, advise customers on IT roadmaps, identify specialist resources, negotiate deals, achieve sales targets, and promote customer success. Travel may reach 50%.

Lead finance activities for India CAO, including annual budgeting, monthly cost tracking, accruals, reclasses, SAP CO allocations, billing, invoicing, controls, and headcount reporting. Provide variance analysis, leadership insights, executive-ready materials, and ad-hoc reporting. Partner with finance, operations, controls, and technology teams on audits, risk assessments, data enablement, and process improvements while supporting leadership reviews and financial governance.

Manages regulatory finance data strategy and program initiatives across global regions. Responsibilities include data profiling, lineage mapping, governance, quality assessment, reconciliation, metadata management, requirements gathering, and regulatory reporting support. Partners with product, technology, and corporate teams to implement solutions, coordinate target operating models, improve processes, and deliver regulatory changes. The role requires strong stakeholder management, analytical, communication, and program management skills, with experience in financial services and data platforms.

Designs and delivers AI-enabled solutions for Compliance and Risk functions. Responsibilities include stakeholder engagement, business and data analysis, process mapping, solution design, prototyping, testing, and implementation of copilots, agents, workflow automation, knowledge assistants, and decision-support tools. The role translates business requirements into technical solutions, coordinates with technology and control partners, supports adoption, and ensures regulatory, privacy, governance, and risk alignment.

Lead development of agentic AI systems, LLM and NLP applications, MCP integrations, scalable data pipelines, and cloud-based client-facing solutions for financial services. Architect distributed systems with strong observability, security, regulatory compliance, and responsible AI controls. Govern AI-assisted software development practices, coach engineering teams, and establish standards for secure coding, testing, validation, and automation. Collaborate with product and business stakeholders to deliver reliable, scalable AI-driven technology.

Lead design and delivery of agentic AI and LLM orchestration solutions: define reference architectures, build reusable GenAI/RAG components, operationalize agentic workflows, ensure security, observability, and cross-team adoption.

Leads the strategy, development, deployment, and adoption of agentic AI and LLM platforms for commercial analytics. Defines product vision, use cases, roadmaps, backlogs, success metrics, and ROI while coordinating engineering, data, UX, market, and business teams. Partners with senior commercial leaders to scale AI-driven decision-making across brands and geographies. Requires extensive product leadership, AI/ML development, commercial analytics, pharma or healthcare knowledge, and executive communication experience.

Own and grow enterprise customer accounts across India by developing territory and strategic account plans, expanding adoption of Atlassian’s SaaS portfolio, and consistently exceeding sales targets. Coordinate with solution engineers, customer success, technical account managers, channel partners, and marketing teams. Build executive relationships, lead consultative solution selling, uncover expansion opportunities, and support cloud migration and business outcomes.

Develop and grow sales pipelines for complex HPC, AI, hardware, software, and services solutions. The role supports account managers, develops strategic opportunities, builds executive-level customer relationships, drives negotiations and deal closures, grows renewals, manages partner engagement, and maintains market and competitor expertise. Candidates will provide consultative solution selling, create account strategies, forecast revenue in Siebel, and promote integrated technology and services portfolios.

Leads end-to-end software architecture and development using Java, Spring Boot, and Python. Designs distributed systems, APIs, event-driven integrations, and production AI/ML services. Provides technical leadership, resolves complex production issues, establishes engineering standards, and drives security, resiliency, observability, and operational excellence. Partners with data science teams to productionize models and implement responsible AI controls.

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.

Lead architectural design and modernization for an equity flow derivatives technology ecosystem. Build and maintain Java-based software solutions, collaborate with product owners and business stakeholders, solve complex technical problems, and improve technology platforms. The role requires hands-on development with Java, Java EE, microservices, REST, Spring Boot, reactive and event-driven architectures, databases, messaging, caching, and AI technologies. It also provides technical mentorship and leadership to a developer squad.

Leads strategic consulting and services sales across cloud, AI, security, consulting, and support offerings. Builds C-suite and board-level relationships, shapes customer transformation strategies, leads complex negotiations, coordinates cross-functional teams, manages forecasts and close plans, and drives renewals, upselling, multi-year agreements, and new business growth. Provides industry thought leadership, mentors peers, and ensures successful deal closure and delivery handoff.

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.

The job description is marked TBD and does not provide role-specific responsibilities or qualifications. Accenture is a global professional services company focused on technology, cloud, data, AI, operations, and consulting services for clients worldwide.

Leads Citi’s inclusion and engagement programs across Asia, Australia, the Middle East, and Africa. Responsibilities include partnering with employee resource groups and senior stakeholders, developing strategies and business plans, managing budgets, coordinating heritage month initiatives, overseeing external partnerships, preparing regulatory and ROI reports, and driving communications and governance. The role requires strong HR, analytical, communication, project management, and stakeholder engagement skills in a global, matrixed organization.

Leads KYC and financial crime compliance transformation initiatives by translating regulatory and business requirements into process designs, user stories, and acceptance criteria. Partners with Compliance, Operations, Product, Technology, and AI teams to identify automation opportunities and design AI-enabled workflows. Facilitates workshops, defines future-state operating models, manages backlogs, and supports sprint planning, UAT, model validation, pilots, and implementation. Applies AI governance, human-in-the-loop controls, explainability, and risk management principles in regulated environments.

Develop and execute strategic business plans with global systems integrator and advisory partners across Asia. Build executive relationships, drive cloud adoption and digital transformation, align sales and co-selling motions, expand partner capabilities, lead business reviews, resolve escalations, recruit partners, and accelerate revenue growth through Microsoft solutions and services.

Own enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and value realization. Translate customer workflows into product requirements, technical solutions, deployment roadmaps, and measurable outcomes. Partner with engineering, sales, customer success, finance, legal, security, and operations while evaluating AI trade-offs, business value, and production readiness. Identify reusable customer needs and help establish scalable product, operating, and deployment playbooks.

Lead end-to-end transformation delivery and Agile ways-of-working improvements. Build and operationalize agentic AI capabilities, including Claude-style skills, workflows, playbooks, and reusable assets. Identify and incubate AI use cases that automate or improve requirements, planning, governance, reporting, testing, documentation, RAID management, and decision support. Collaborate with business analysts, project managers, PMO, IT managers, and transformation teams.

Develop supply chain AI strategies, prioritize use cases, map processes to AI-enabled future states, and support requirements, architecture, business cases, and client workshops. Analyze supply chain data, create presentations and roadmaps, apply design thinking, and explore prompt engineering and RAG techniques. The role requires supply chain expertise, structured problem-solving, AI fluency, data synthesis, and strong communication skills.