Top Artificial Intelligence Jobs in Chennai

Leads data engineering teams and provides technical direction for scalable, reliable data platforms and solutions. Oversees Agile delivery, backlog planning, operational support, quality standards, technical debt reduction, and stakeholder communication. Coaches engineers, sets performance goals, drives innovation, and guides adoption of data, cloud, containerization, DevOps, artificial intelligence, and machine learning technologies.

Develop AI products on Azure and Optum AI platforms using Python, Spring, Java, and React. Lead a team of engineers delivering AI solutions, support production deployments, and ensure compliance with company policies. The role requires a graduate degree or equivalent experience, at least five years working with the specified technologies, strong knowledge of AI, Azure, React, Java, Oracle, and MySQL, with relevant certifications preferred.

Designs and maintains automated tests for front-end, middleware, database, connectivity, and embedded systems. Develops AI- and LLM-integrated automation workflows, performs endurance and stability testing, validates releases, manages defects, repairs complex scripts, and conducts peer reviews. Partners with software engineers, reports results to leadership, supports risk-based testing and release readiness, and may lead projects or teams in a global delivery environment.

Perform independent second-line technology risk testing across IT, security, cloud, and AI/ML domains. Execute end-to-end control testing, document findings (risk and control matrices), and work with business and risk teams to remediate gaps and report significant risks to management.

Owns employee-facing digital product roadmaps, prioritizes backlogs, manages budgets, and leads agile improvements. Initially covers Digital Employee Support, defining scalable support journeys, self-service, and knowledge-management requirements. Partners with Digital Workplace, adoption, technology, engineering, data, AI, and business teams to improve employee experience. Develops DEX and efficiency metrics, converts product and support data into insights, and supports AI-enabled employee services across a global organization.

Leads Innovation Lab research and applied technology innovation across IoT, AI, cloud, automation, digital services, and data-driven insights. Designs research frameworks, prototypes, evaluates projects, develops white papers and system models, builds partner ecosystems, facilitates co-innovation, and presents technology findings to internal and external audiences. Requires extensive IT experience, research leadership, industry networking, and strong communication skills.

Lead enterprise-wide AI transformation programs within the CIO/PMO organization. Responsibilities include partnering with senior executives, establishing program governance, managing Agile delivery cadence, risks, dependencies, milestones, and escalations, producing executive-level reporting, tracking PMO KPIs, building Jira and Confluence dashboards, and improving PMO processes across global, cross-functional teams.

Analyzes safety and business performance data to identify challenges, uncover opportunities, and recommend practical solutions. Develops dashboards and reports, supports AI and automation initiatives, informs executive decisions, and identifies cost-saving opportunities. Partners with leaders and functional teams to communicate findings clearly and improve operational performance, efficiency, customer experience, and business outcomes.

Leads enterprise technical delivery and software engineering strategy for US healthcare and payer analytics solutions. Oversees large-scale engineering teams, project lifecycles, budgets, quality, compliance, interoperability, and continuous improvement. Develops delivery roadmaps, manages risks and resources, mentors leaders, and partners with executives, clients, vendors, sales, marketing, and regulatory stakeholders. Requires deep healthcare domain knowledge, strong technical architecture expertise, and experience scaling organizations and converting opportunities into revenue.

Leads a global portfolio of process and analytics initiatives across pharmaceutical operations. Owns opportunity prioritization, value realization, project delivery, governance, risk management, stakeholder alignment, change adoption, and talent coaching. Uses process mining, automation, AI, and advanced analytics across SAP, Veeva, and Salesforce to improve efficiency, reduce risk, and deliver measurable financial and operational outcomes.

Lead KONE’s global People Analytics domain by defining its strategy, operating model, technology roadmap, and governance. Own analytics solutions in partnership with HR, IT, and business stakeholders; represent People & Communications in data governance forums; and support training, data literacy, and standardized people-data practices worldwide. The role requires leadership across business and technical teams, knowledge of HR analytics technologies such as Workday and Power BI, and understanding of AI, machine learning, automation, cloud infrastructure, and data architecture.

Build and deploy AI-powered solutions for enterprise and campus customers. Scope environments, prototype agentic AI applications, design secure multi-tenant and hybrid architectures, and harden successful prototypes into production. Own identity, encryption, networking, CI/CD, observability, and production support within customer environments. Collaborate with product, AI, data, and program teams to standardize repeatable solutions. The role is highly customer-facing and requires regular domestic and occasional international travel.

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.

Develop AI products using Python, Spring/Java, React, Azure, and Optum AI platforms. Lead a team of engineers delivering AI solutions, support production deployments, and apply expertise in AI, cloud, frontend, backend, and database technologies. The role requires a graduate degree or equivalent experience, at least nine years of relevant experience, and advanced knowledge of Azure, React, Java, Oracle, and MySQL. Relevant technology certifications are preferred.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

Lead the AI Capability Centre, driving strategic development and operational excellence in AI solutions while managing a team of AI experts.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

The AI Engineer is responsible for designing, validating, and supporting engineering processes, ensuring compliance with development plans and customer requirements.

Sell and manage solution-level offerings in industrial automation, digital twin, AI and cybersecurity. Build customer relationships, promote Yokogawa technologies across industries, and support sustainable, technical solution adoption.

Support development of an AI-based regulatory management system and tools using MS Power Automate/PowerApps. Analyze global vehicle homologation regulations, identify specification differences, and help shape the digital homologation strategy. Contribute independently to projects within a cross-location team.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

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

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Build and maintain Java backend services and end-to-end features (backend and frontend). Design data models and DB schemas, integrate with frontend, perform code reviews, troubleshoot, deploy with DevOps, and collaborate with US teams and partners to expand the supply-chain platform.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.