Top Artificial Intelligence Jobs in Mumbai

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads Cisco’s BFSI sales strategy across India, managing strategic enterprise accounts and teams. Develops go-to-market plans, executive relationships, forecasting, pipeline growth, account strategies, and partner-led selling. Coordinates sales, marketing, finance, operations, product, and technology teams to deliver customer outcomes. Identifies market opportunities, promotes AI-enabled and data-driven selling, represents Cisco externally, and coaches sales talent in a complex, matrixed environment.

Owns B2B technology marketing execution across brand building, content, campaigns, demand generation, events, thought leadership, customer marketing, and digital engagement. Partners with leadership, sales, delivery, technology, alliances, and customers to translate technical capabilities into compelling business narratives, launch initiatives, and measure impact. The role requires strong project ownership, cross-functional collaboration, communication, and execution in a fast-moving data, analytics, and AI services environment.

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.

Support customers through live chat by troubleshooting wireless internet products and services, resolving issues, and creating positive customer interactions. The role requires an energetic, customer-focused team leader who can engage customers effectively and contribute to strong client experiences.

Provides customer support through live chat, troubleshoots wireless internet products and services, and delivers positive customer engagement for clients. The role emphasizes meaningful interactions, energetic service, and resolving customer issues in a fast-paced environment.

Lead technical consulting engagements across the software development lifecycle, including requirements gathering, estimation, architecture, implementation, testing, documentation, deployment, and support. Mentor developers, provide technical leadership, collaborate with solution architects and clients, translate designs into technical requirements, and deliver innovative software solutions using Java and AI/LLM technologies.

MBA Summer Associates join consulting teams for 8–12 weeks, contributing to real client projects and developing hands-on strategy consulting experience. Responsibilities include strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data competencies to complex business challenges. Strong performers may receive full-time offers.

Seeking senior software engineers with proven expertise in at least one technical area, including AI/ML, LLMs, data, full-stack or backend development, automation, cloud infrastructure, and DevOps. Responsibilities include solving complex problems independently, collaborating across technologies, and delivering production-quality projects in a startup environment. Engagements may be project-based or ongoing.

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.

Supports settlement risk management across payment clearing and settlement activities. Responsibilities include monitoring credit, liquidity, operational, concentration, and participant default risks; assessing exposures, limits, collateral, and breaches; developing risk policies, dashboards, reports, and governance materials; supporting stress testing and control assessments; tracking remediation actions; and providing independent oversight and challenge to risk owners. The role also analyzes risk data, supports GRC tool implementation, monitors regulatory developments, and contributes to AI-enabled risk monitoring.

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.

Manages IT service management processes, governance, policies, procedures, and continuous improvement. Leads cross-functional teams, oversees service operations, analyzes metrics and reports, and communicates major incidents and service health to executives and stakeholders. The role requires expertise in ITIL, cloud technologies, ServiceNow or similar platforms, enterprise technology architecture, process governance, and automation opportunities. It also involves building effective relationships across multicultural, multi-vendor, and geographically distributed teams.

Assist with deploying and maintaining AI applications on AWS through CI/CD pipelines, containerization, infrastructure as code, and automated testing. Support monitoring and troubleshooting using AWS CloudWatch and CloudTrail, collaborate with AI developers, and contribute to LLM application deployment workflows using Docker, ECS/EKS, CloudFormation, or Terraform. The role also involves learning cloud, DevOps, and machine learning technologies.

Develop prototypes and proof-of-concepts for enterprise AI applications, including prompt engineering, AI model integration, workflow tools, and performance benchmarking. Collaborate with business teams to identify AI opportunities, evaluate solutions against business metrics, and present findings to technical and non-technical stakeholders.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

Lead Alpaca’s global Trading API customer experience organization, including General and VIP Support. Build a follow-the-sun coverage model, establish service standards and KPIs, improve support through data, AI, automation, and self-service, and develop high-performing teams. Partner with Product, Engineering, Trading, Operations, Compliance, and Sales to resolve recurring issues, improve customer workflows, and support institutional trading customers.

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.

Supports customers through live chat by troubleshooting wireless internet products and services, resolving issues, and delivering positive customer experiences. The role requires energetic, meaningful customer engagement and focuses on helping clients’ customers while contributing to customer experience insights and digital support operations.

Lead backend engineer responsible for building scalable Java and Spring Boot enterprise applications, microservices, REST APIs, messaging integrations, and distributed systems. The role focuses on integrating agentic AI and LLM capabilities into production systems, designing multi-agent workflows, and addressing reliability, observability, latency, and cost concerns. Responsibilities also include performance tuning, SQL development, CI/CD, DevOps, and production support within an institutional securities environment.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

Learn and contribute to production agentic AI and AWS modernization projects under Forward-Deployed Engineer mentorship. Build and test AI agent components, orchestration, retrieval pipelines, evaluation harnesses, callable tools, and test cases using real customer data. Participate in architecture and customer discussions, document agent decisions and test evidence, and deliver small improvements while developing practical expertise in agentic systems.

Own and lead the company’s end-to-end legal function, including drafting and negotiating commercial agreements, advising on contractual risks, managing vendors and external counsel, supporting employment and equity matters, and handling fundraising, governance, IP, privacy, compliance, and regulatory issues. The role requires strong US commercial contract expertise and experience supporting US-based companies, ideally in pharma, life sciences, or healthcare.

Design and deploy production-ready AI applications using generative AI, LLMs, agentic AI, deep learning, neural networks, chatbots, and image processing. Build scalable cloud or on-premises AI pipelines, lead technical decisions, coordinate cross-functional integrations, solve complex problems, and mentor junior engineers.

Deploy, monitor, optimize, and govern enterprise AI models and infrastructure on Azure. Build MLOps pipelines with Azure ML and GitHub Actions, manage model upgrades and rollbacks, improve inference performance and cost, and implement telemetry, security, auditability, and change-management controls. Collaborate with AI developers, product owners, governance leaders, and cloud architects across professional-services applications.