Top Artificial Intelligence Jobs in Chennai

Leads the strategy, architecture, development, and operations of Ford’s AI security platform. Manages AI security engineers while contributing to system design, coding, automation, and technical decisions. Builds full-stack, cloud-native security services, APIs, dashboards, DevSecOps controls, observability, and AI threat protections. Owns roadmaps, security architecture, risk automation, compliance validation, and secure AI deployment across Azure, GCP, and AWS. Partners with AI, platform, and cybersecurity teams to deliver scalable security capabilities and develop a high-performing engineering organization.

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

Build scalable Python backend services, APIs, cloud-native applications, and AI-powered solutions. Develop LLM, RAG, agentic, and multi-agent systems; deploy workloads with Docker and Kubernetes; maintain CI/CD pipelines; and operate applications across major cloud platforms. Collaborate cross-functionally to deliver secure, tested, observable, and production-ready software while optimizing performance, scalability, latency, and cost.

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.

Develops, tests, deploys, and maintains software in cloud-based, microservices environments. Builds REST APIs, integrates third-party systems, works with structured and unstructured telemetry data, and applies ML/AI algorithms. Supports distributed systems, automation, CI/CD, code reviews, debugging, refactoring, documentation, and software delivery across Agile teams and multiple stakeholders. The role also contributes to prototypes, deployments, automated testing, and collaboration with product teams.

Develop and test AI-enabled software services in a microservices environment. Build APIs, process structured and unstructured telemetry data, apply ML/AI algorithms, and support distributed systems, cloud deployments, automation, CI/CD, testing, documentation, code reviews, and refactoring. Collaborate with product teams and stakeholders across software delivery phases while working with AWS, GCP, Azure, containers, and SQL/NoSQL data stores.

Assists with designing, developing, testing, deploying, and maintaining cloud-based software and AI services. Builds microservices and REST APIs, works with structured and unstructured data, supports ML/AI algorithms, automates integrations, and contributes to distributed systems, CI/CD, documentation, code reviews, and debugging. Collaborates with product teams and stakeholders in an agile environment while supporting software delivery across multiple cloud platforms.

Develop and test software components for cloud-based and internet-related products in a microservices environment. Build APIs, process telemetry and structured or unstructured data, apply ML/AI algorithms, and support distributed systems, automation, deployments, testing, documentation, and code reviews. Collaborate with product teams and stakeholders throughout the software delivery lifecycle using Agile, DevOps, CI/CD, and cloud infrastructure practices.

Supports software development, automation, analytics, cloud, AI, and digital transformation initiatives. Analyzes business problems, proposes technology-enabled solutions, participates in innovation projects and hackathons, and collaborates with global stakeholders. The role is designed for engineering graduates with strong programming fundamentals, analytical abilities, learning agility, and practical interest in generative AI and AI-assisted productivity tools.

Leads the design, development, testing, deployment, and maintenance of AI-enabled software in cloud-based, microservices environments. Develops RESTful APIs, distributed systems, and ML/AI solutions using structured and unstructured data. Collaborates across teams, performs code reviews, automates testing and deployments, refactors code, and documents technical and operational procedures. Requires expertise in cloud platforms, programming, databases, containers, CI/CD, Agile practices, and full software delivery lifecycles.

Leads the design, development, testing, deployment, and refactoring of cloud-based software in microservices environments. Develops APIs, distributed systems, automation, and ML/AI solutions using structured and unstructured data. Collaborates across geo-distributed teams, reviews code, supports CI/CD and automated testing, and contributes to technical documentation and operational procedures.

Supports software development, automation, analytics, cloud, AI, and digital transformation initiatives. Analyzes business and technical problems, proposes technology-enabled solutions, collaborates with global stakeholders, and participates in innovation workshops and project-based learning. Applies programming, analytical, communication, and teamwork skills while developing practical solutions and exploring generative AI tools.

Supports software development, automation, analytics, cloud, AI, and digital transformation initiatives. The role analyzes business problems, develops technology-enabled solutions, improves processes, participates in innovation projects, and collaborates with cross-functional and global teams. Candidates should demonstrate programming fundamentals, analytical thinking, communication, teamwork, and practical use of AI tools.

Reviews AI-generated medical document summaries for accuracy, completeness, clinical correctness, and alignment with underwriting requirements. Edits and formats reports, meets turnaround and quality targets, escalates unclear outputs, and collaborates with QA and team leads to resolve recurring issues.

Develops advanced analytics and data solutions to address business challenges, improve processes, and generate customer and commercial value. The role consults with stakeholders, defines analytical questions, creates meaningful visualizations, communicates insights, and coordinates multidisciplinary Agile data teams. It requires technical capability, cloud experience, data architecture knowledge, analytics tooling and coding knowledge, plus an understanding of financial services.

Leads a data and analytics team at vice president level, coaching colleagues and delivering strategic analytics solutions. Partners with stakeholders to define complex business questions, plans analytics resources, applies advanced analytics and visualization, and communicates insights to support business decisions. The role also requires knowledge of data architecture, cloud environments, coding, emerging tools, and methodologies, with a focus on customer and commercial impact.

Develops advanced analytics solutions to address complex business challenges and improve understanding of customers, processes, channels, and products. Consults with stakeholders, translates insights into visualizations, leads strategic projects and scrum outcomes, coaches colleagues, and connects data science and engineering work to business needs. Requires strong technical capability, cloud experience, data architecture knowledge, and the ability to communicate complex findings clearly.

Lead the design, development, optimization, and deployment of scalable Python applications and enterprise platforms. Establish engineering standards, architecture roadmaps, CI/CD automation, testing, DevSecOps, and application security practices. Optimize performance for mission-critical workloads, support AI-enabled application development and model operations, and ensure governance and regulatory compliance. Mentor engineers, conduct code reviews, and collaborate with product, infrastructure, security, architecture, and business stakeholders.

Leads a team responsible for Scopus content completeness, quality, ingestion, production workflows, clustering, deduplication, corrections, and data governance. Oversees performance metrics, Power BI reporting, escalations, process improvement, automation, resource planning, and AI-enabled data literacy. Manages and develops Process/Data Specialists, coordinates with cross-functional stakeholders, and drives coverage-gap resolution, compliance, productivity, and continuous improvement.

Leads a team responsible for Scopus content completeness, quality, ingestion, production workflows, and data governance. Oversees escalations, clustering, deduplication, corrections, retractions, dashboards, KPIs, and process improvement. Partners with cross-functional content and technology teams to resolve content-flow issues, improve automation and data literacy, reduce operational risks, and ensure quality and performance targets. Manages, mentors, and develops Process/Data Specialists while representing content operations priorities in governance forums.

Design AI-assisted enterprise experiences by conducting user research, mapping journeys, creating conversational workflows, prompts, wireframes, prototypes, and service blueprints. Apply design thinking, service design, accessibility, inclusive design, and responsible AI principles. Collaborate with business, product, technology, and adoption teams to integrate experience design into solution delivery, then iterate based on usability and adoption feedback.

Leads the architecture, development, and governance of enterprise-scale cloud data platforms on GCP. Designs data lakes, warehouses, marts, ETL/ELT frameworks, batch and event-driven pipelines, and analytics solutions. Provides technical leadership, mentoring, code and architecture reviews, and engineering standards. Ensures data quality, security, observability, monitoring, and governance while optimizing BigQuery performance and cloud costs. Collaborates with stakeholders to translate business requirements into scalable data products and supports production troubleshooting.

Leads clinical systems teams and oversees RPA, system integration, and AI/ML projects. Ensures study goals, timelines, quality standards, client requirements, and contractual obligations are met. Provides technical support, escalation management, contingency planning, resource utilization oversight, and people leadership, including coaching, performance management, interviewing, and mentoring. Supports customer relationships and delivery teams while managing junior professionals.

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.