Top Artificial Intelligence Jobs in Mumbai

Leads reactive and proactive incident response engagements across India and APAC. Performs advanced host and network forensics on Windows, macOS, and Linux; advises customers during security incidents; develops remediation plans; presents findings to technical and executive audiences; and mentors junior team members. The role also involves threat intelligence, adversary attribution, thought leadership, and applying AI technologies to improve workflows and decision-making.

Manage operational risk and controls for Wealth Management by assessing risks, designing and implementing sustainable controls, monitoring control effectiveness, coordinating audits and regulatory exams, overseeing testing and remediation, and driving continuous improvement. The role partners with business, Legal, Compliance, audit, and central support teams while using analytics, workflow tools, AI, and automation to improve control management.

Performs risk assessments, control testing, regulatory reporting quality reviews, remediation tracking, root-cause analysis, and process improvements for payments operations. Monitors reporting accuracy, completeness, timeliness, and control adherence while synthesizing leadership insights. Leads change initiatives and uses AI and machine learning for anomaly detection, data validation, and workflow analysis. Partners with global teams to strengthen regulatory compliance and reporting standards.

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.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads regional order-to-cash product integration across order capture, fulfillment, billing, collections, cash application, and customer care. Owns business requirements, portfolio visibility, governance, BPO performance, digital adoption, and value realization. Establishes a regional community of practice, aligns requirements with enterprise roadmaps, tracks Celonis KPIs, and holds product and operations leaders accountable. Requires strong OTC, SAP, Celonis, portfolio governance, financial, analytical, and executive stakeholder-management expertise.

Own the product vision, roadmap, discovery, delivery, adoption, and optimization for payment exceptions and investigations. Lead product managers and engineering teams while balancing customer value, operational efficiency, risk, controls, technology, and resilience. Develop payment reporting capabilities, modernize existing systems, and identify responsible automation and AI opportunities. Partner across Product, Engineering, Operations, Risk, Architecture, and frontline teams to deliver reusable, measurable payment servicing capabilities.

Leads PMO enablement by establishing project management methodologies, governance, standards, toolkits, reporting, dashboards, and analytics. Oversees Smartsheet platform strategy, automation, AI-enabled productivity, adoption, change leadership, training, and community engagement. Provides decision support through predictive reporting and business intelligence while improving project management maturity, data quality, user experience, and executive visibility. Manages stakeholder partnerships and develops professional teams.

Monitor global wholesale credit portfolios, identify emerging risks and concentrations, and develop forward-looking indicators for senior risk decisions. Automate portfolio monitoring and reporting using advanced analytics, visualization, and AI concepts. Maintain governance documentation, execute control testing, track remediation, and communicate concise findings to global Credit Officers, Product Managers, and Risk Managers.

Reviews trade surveillance alerts across equities, derivatives, fixed income, and commodities to identify regulatory or policy breaches. Investigates and documents escalated alerts, supports control design and optimization, prepares management information, develops surveillance metrics, and assists with regulatory inquiries, audits, testing, and technology enhancements. Collaborates with Compliance, Operations, Technology, Risk, vendors, and front-office teams across regions.

Supports Citi’s internal Know Your Client program by creating, validating, updating, and completing KYC records and documentation. Researches company and regulatory information, monitors workflow progress, meets review targets and service-level agreements, reports operational metrics, and escalates discrepancies, negative news, and high-risk cases to compliance teams. The role also assists with departmental projects and applies AML/KYC controls, regulatory requirements, and risk assessment practices.

Leads development of AI-native software engineering systems using LLM-driven agents, multi-agent orchestration, RAG pipelines, and AWS services. Designs agent communication layers, integrates engineering toolchains, builds SDKs and data pipelines, and establishes automation, observability, governance, security, and validation standards for AI-assisted development. Provides technical leadership and mentorship while driving responsible adoption of AI tools across software delivery teams.

Leads Pfizer’s Analytics Gateway AI Engineering, Data Engineering, and BI teams of approximately 20 colleagues. Oversees AI-enabled analytics and agentic solutions from architecture and proof of concept through production, including Snowflake Cortex Agents, MLOps/LLMOps, data foundations, ETL, BI, governance, monitoring, and responsible AI. Manages direct reports, hiring, development, resource allocation, stakeholder alignment, and strategic delivery for global commercial analytics.

Supports Citi’s AML and KYC compliance operations by creating, validating, and completing KYC records; researching company and regulatory information; maintaining workflow systems; tracking metrics; escalating discrepancies and high-risk cases; and reporting progress to supervisors. The role also assists with regulatory requirements, documentation, departmental projects, and process improvement using AI concepts.

Build reusable geospatial AI components including embeddings, similarity search, retrieval, feature engineering, and agentic pipeline modules. Process imagery, map, sensor, and traffic data; support foundation-model training, evaluation, and fine-tuning; and deliver tested, documented components to MLOps for production serving. The role requires strong Python and software engineering fundamentals, deep learning experience, retrieval-system knowledge, and familiarity with high-volume spatial data.

Leads technical integration projects by gathering business requirements, translating them into product and engineering deliverables, prioritizing features, and coordinating sprint execution. Manages timelines, quality, risks, dependencies, and delivery visibility across engineering, product, and business teams. Requires knowledge of data platforms, ETL, streaming, databases, cloud technologies, automation, AI, and workflow orchestration, along with strong communication, leadership, and delegation skills.

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.

Manage second-line oversight of liquidity and interest rate risks across United Kingdom legal entities. Analyze bank balance sheets, monitor risk limits and indicators, assess emerging funding risks, review controls and regulatory requirements, and provide independent challenge to Treasury and risk teams. Prepare risk committee materials, support stress testing and scenario analysis, fulfill regulatory requests, and identify scalable technology solutions for management information and risk monitoring.

Designs and presents AI, GenAI, cloud, and infrastructure solutions for enterprise customers. Leads technical discovery sessions, workshops, demonstrations, architecture discussions, and proof-of-concept engagements. Advises on LLM applications, RAG workflows, MLOps, GPU workloads, Kubernetes, networking, and hybrid cloud architectures. Collaborates with sales, engineering, and product teams on proposals, RFPs, customer requirements, and roadmap feedback while acting as a trusted technical advisor.

Lead strategic enterprise sales engagements for Windows 365 and Azure Virtual Desktop. Develop ROI-driven business cases, technical use cases, competitive strategies, pitches, proof-of-concepts, and whiteboarding sessions. Progress complex cloud and AI transformation deals, orchestrate partners, support deployment capacity, identify market trends, and coach field teams through knowledge transfer.

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 the design, development, and deployment of production-ready AI and machine learning solutions using cloud AI services and generative AI. Responsibilities include building scalable pipelines, applying deep learning and neural networks, integrating models into existing systems, coordinating cross-functional teams, making technical decisions, and mentoring junior engineers.

Develops secure, scalable Java and Spring Boot microservices and APIs, including design, testing, debugging, and operational stability. Builds AI agents and LLM-enabled engineering workflows using Copilot, Claude Code, and Python, with attention to guardrails, verification, sensitive data handling, and responsible AI. Applies Kubernetes, CI/CD, resiliency, security, and agile practices while contributing to production-grade software delivery and engineering productivity.

Provides technical sales support for data and AI solutions in upstream oil and gas. Identifies customer needs, develops technical solutions, builds proofs of concept, supports demonstrations and technology launches, manages technical issues, and contributes to sales strategies and revenue targets. The role requires expertise in exploration and production workflows, data science, AI, analytics, and client relationship management.

Lead global KYC Operations teams and strategy, overseeing AML monitoring, governance, regulatory reporting, policy implementation, vendor coordination, training, program delivery, technology enhancements, risk controls, and continuous process improvement. Manage teams and senior stakeholder relationships while ensuring regulatory compliance, operational effectiveness, data quality, and service-level performance.