Top Artificial Intelligence Jobs in Chennai

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.

Supports revenue cycle operations across accounts receivable, authorization, claims follow-up, and payment resolution workflows. Reviews work items, analyzes operational data, identifies process improvements, maintains documentation, supports quality and compliance, and coordinates with internal teams. The role also assists with onboarding, audits, process reviews, special projects, and appropriate use of AI tools. This is a hybrid position based in Chennai, India, requiring healthcare operations experience and collaboration across teams.

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.

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.

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.

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.

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.

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 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.

Build and operate scalable AI/ML infrastructure, model services, developer tools, and automated training, evaluation, deployment, and monitoring workflows. Manage workloads on AWS and Kubernetes, optimize model inference and resource usage, implement observability, governance, security controls, and incident response, and improve reproducibility and release processes. Partner with Engineering, ML, SRE, Compliance, and Security teams while mentoring teammates and developing reliable AI capabilities.

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.

Leads AstraZeneca’s enterprise Data and AI forward engineering strategy across Finance, HR, Legal, Compliance, M&A and other enabling functions. Builds data products, AI and agentic solutions, engineering capabilities, governance and responsible AI practices. Connects experimentation to measurable business value, develops AI skills, manages distributed teams and strategic partners, and improves operational resilience, automation and FinOps. The role also shapes product-focused operating models, talent development and adoption of AI across India and the UK.

Leads AstraZeneca’s enterprise Data and AI forward-engineering strategy across Finance, HR, Legal, Compliance, M&A and other enabling functions. Builds data products, AI agents, engineering capabilities and product-focused teams; establishes governance, security, privacy, responsible AI and value measurement practices; scales experimentation into measurable business outcomes; develops talent across India and the UK; and improves managed-service resilience, automation and cost efficiency.

Owns Athena’s organization-wide data governance, privacy, protection, and responsible AI framework across multiple countries. The role develops policies, consent and risk tools, data inventories, compliance processes, incident response, AI approvals, and ISO 27001/SOC 2 readiness. It also trains staff and partners, supports live projects, manages audits, advises clients and regulators, and reports governance progress to leadership.

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.

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.

Own the APAC partner marketing strategy and budget, developing joint marketing plans with VARs, TSDs, BPOs, and GSIs. Execute integrated digital, hybrid, and in-person programs that generate demand, create and accelerate pipeline, and support revenue growth. Align Partner Sales and Marketing stakeholders, manage strategic relationships, establish performance metrics, report ROI, and optimize investments across the region.

Lead AI product discovery and enablement across Portfolio Valuation. Identify high-value AI opportunities through user research, workflow mapping, and stakeholder workshops; define requirements, success measures, and adoption plans; support pilots and releases; develop education and reusable guidance; research AI market developments and vendor capabilities; and manage an opportunity pipeline from discovery through implementation and adoption.