Top Artificial Intelligence Jobs in Chennai

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Lead the ethical use and governance of AI, ensuring compliance with legal standards, managing AI risks, and fostering collaboration across teams.

Own the reference architecture and platform for production AI agents, including agent execution, tool use, state management, recovery, context engineering, model routing, guardrails, and human handoffs. Build shared retrieval, memory, and evaluation infrastructure for offline and online quality measurement. Integrate agents with event-driven systems and customer APIs, review designs, mentor engineers, and connect technical metrics to supply chain business outcomes.

Leads software and AI/ML engineering strategy, architecture, delivery, and organizational development. Manages multi-team engineering organizations, roadmaps, budgets, hiring, and leadership development while overseeing cloud-native services, APIs, machine learning, generative AI, RAG, AI agents, MLOps, LLMOps, responsible AI, security, reliability, and production operations. Partners with product, data, security, and business leaders to deliver measurable outcomes and accelerate modernization.

Leads the architecture, development, and production delivery of AI/ML capabilities in enterprise healthcare applications. Builds ML and generative AI solutions, RAG systems, model-serving APIs, MLOps workflows, distributed cloud services, and CI/CD pipelines. Ensures responsible AI, security, privacy, reliability, monitoring, and operational readiness. Influences architecture across teams, mentors engineers, documents technical decisions, and delivers reusable production components.

Leads mainframe modernization and migration initiatives for large global clients. Develops transformation and re-platforming solutions, conducts discovery workshops, presents technical and business cases, advises executives, and partners with sales, consulting, operations, and product teams. Requires extensive mainframe expertise across legacy technologies, migration architecture, data modernization, cloud and hybrid environments, and enterprise hosting. The role also supports AI-driven modernization, technical documentation, project lifecycle management, and client relationship development.

Drives strategic growth and annual operating plan targets across EPC accounts in southern India. Leads complex, large-scale project pursuits as a program manager, coordinates cross-functional stakeholders, develops customer value propositions, and expands strategic accounts. The role focuses on consultative selling of digital, cybersecurity, AI, and industrial automation solutions while building executive relationships and customer-centric engagement strategies.

Leads enterprise technology operations across service availability, infrastructure, security, resilience, incident management, business continuity, AI adoption, risk controls, budgets, vendors, and workforce planning. Owns operational governance, KPIs, investment priorities, audit readiness, and client-facing performance forums while building high-performing teams and driving automation, cost optimization, and measurable business value.

Three-year early-career leadership program in Chennai featuring rotations across planning and materials, quality and manufacturing engineering, operations engineering, strategic sourcing or logistics, and plant supervision. Participants develop skills in AI-enabled process improvement, data analysis, project management, and people leadership through mentoring, training, and increasing responsibility. Successful graduates transition into technically focused, individual contributor, or supervisory roles.

Manage EU reference data operations, ensuring accurate, timely delivery through quality governance, coding validation, KPI monitoring, root-cause analysis, and stakeholder coordination. Identify opportunities for AI, automation, analytics, and process improvement; support implementation of intelligent controls and workflow solutions. Maintain procedures, resolve data issues, communicate risks and trends, coordinate cross-functional teams, and provide process guidance and training across Western European markets.

Client-facing healthcare analytics business analyst responsible for engaging senior executives, identifying business pain points, designing demonstrable analytics solutions, supporting consultative sales, and helping shape product roadmaps. The role requires deep U.S. healthcare knowledge, claims and interoperability expertise, hands-on analytics experience, stakeholder communication, requirements documentation, product collaboration, and mentoring. Work spans healthcare data management, BI, cloud, AI, machine learning, and emerging analytics services.

Design, develop, deploy, and integrate AI, machine learning, and generative AI solutions for industrial and business applications. Own the machine learning lifecycle, define architectures, assess data readiness, monitor production models, and ensure reliability and maintainability. Evaluate emerging AI technologies, manage technical delivery from partners and contractors, and collaborate with cross-functional stakeholders to identify use cases, support adoption, and deliver measurable operational improvements.

Supports enterprise software implementations for maritime and terminal operations customers. Responsibilities include system analysis, configuration, integration, issue verification, case creation in Salesforce, requirements analysis, test-case preparation, and AI-enabled consulting support. The intern communicates with customers and internal teams, manages assigned issues, contributes to project deliverables, and learns supply chain software, consulting practices, and approved AI tools under senior guidance.

Build and manage enterprise accounts in India, generate pipeline, identify new business opportunities, negotiate and close contracts, and drive account expansion. The role targets customer experience, support, and BPO organizations, requiring CXO-level selling, value-based technology sales, onboarding ownership, account farming, industry insight, sales initiatives, KPI tracking, and compelling presentations and demos.

Design, build, and operate production-grade autonomous AI systems and multi-agent workflows. Develop agentic capabilities using OpenAI, Google Gemini, and Perplexity; implement orchestration, reflection, planning, evaluation, observability, and human-in-the-loop controls. Deploy scalable serverless services with Python and AWS, integrate with .NET systems, manage reliability and cost constraints, and create testing frameworks to monitor and improve agent quality.

Owns the enterprise architecture and hands-on implementation of Coursera’s agentic AI foundation. Designs agent orchestration, context and semantic architectures, governance, security, CI/CD automation, cost optimization, integrations, observability, and production standards. Enables business teams to build reliable AI-native workflows at scale while partnering with Engineering, IT, Data, Security, and business pods. The role also includes hiring, coaching, technical leadership development, and defining operating models and adoption metrics.

Associate Product Manager responsible for understanding customer needs, defining product opportunities, creating requirements and roadmaps, partnering with Engineering and Design, running experiments, analyzing metrics, and improving lending product outcomes. The role collaborates with Risk, Operations, Data Science, Compliance, and external partners while independently owning product initiatives and contributing to long-term product strategy.

Perform contract drafting, review, redlining, and simulated negotiations while evaluating AI-generated legal responses. Identify contractual risks, assess legal accuracy using structured rubrics, and provide actionable feedback to improve AI systems for contract review. Collaborate with legal, product, engineering, and research teams on datasets, evaluation guidelines, and quality standards.

Supports the design, development, testing, deployment, and maintenance of cloud-based software in a microservices environment. Works with APIs, telemetry, structured and unstructured data, distributed systems, and ML/AI algorithms. Assists with automation, code reviews, refactoring, documentation, CI/CD, testing, and software integration while collaborating with product teams and stakeholders.

Own product strategy, roadmap, prioritization, and execution across talent, marketplace, vetting, onboarding, trust, and platform workflows. Translate ambiguous problems into requirements, use data and experimentation to guide decisions, shape user experiences, and partner with engineering, design, data, QA, and operations to deliver scalable products.

Leads delivery of enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native engineering, CI/CD, Terraform, Responsible AI, and AI adoption. Partners with product, security, architecture, and business teams while managing risks and executive communication. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Own product marketing, content strategy, brand storytelling, positioning, and organic growth for an early-stage AI and life sciences company. Develop narratives, campaigns, launch materials, customer stories, visual content, and distribution strategies. Collaborate with founders, product, engineering, design, sales, and customer-facing teams to translate complex technology into compelling market-facing content and drive brand awareness, qualified inbound interest, and pipeline influence.

Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.

Leads technical planning, requirements gathering, estimation, architecture, development, testing, documentation, deployment, and application support for client projects. Mentors developers, provides technical leadership, collaborates with architects and designers, translates creative designs into functional and technical requirements, and communicates effectively with technical and non-technical stakeholders.