Top Tech Jobs & Startup Jobs in Chennai

Provides technical and architectural leadership for Care Extension capabilities within a healthcare platform. Leads scalable Care Management and Medication Management solutions, defines application strategy, oversees end-to-end production delivery, and translates business needs into enterprise architectures. Establishes Responsible AI and governance standards, develops high-performance data pipelines, partners with product and engineering leaders, and mentors teams through design reviews and best practices.

Develops and deploys AI and machine learning models and algorithms in production. Applies NLP, NLU, computer vision, deep learning, speech recognition, statistics, optimization, and probability theory to build practical AI solutions. Analyzes data, investigates complex problems, interprets results, and communicates analytics concepts to leadership and internal stakeholders. Requires an undergraduate degree or equivalent experience.

Develops AI software product learning, marketing, and adoption content across multimedia, video, animation, social media, infographics, job aids, and user guidance. Assesses content gaps, creates knowledge and communication plans, manages SharePoint and Viva Engage content, automates publishing and maintenance workflows, gathers user feedback and metrics, and partners with product, change, adoption, communications, and vendor teams to improve AI tool adoption and user experience.

Owns technical product execution for CareSelect Imaging by translating strategy and customer needs into capabilities, features, user stories, acceptance criteria, and prioritized backlogs. Partners with distributed Engineering, Architecture, QA, Product, and Operations teams to manage dependencies, risks, planning, development, testing, releases, and validation. Communicates priorities and delivery status while improving requirements quality and predictability.

Design end-to-end traditional, conversational, and agentic search experiences across web and mobile. Create accessible interfaces for search results, AI-generated outputs, structured data, conversational flows, edge cases, and agent actions. Build Figma components and prototypes, partner with product, engineering, research, and design systems teams, validate designs through testing and metrics, present design rationale, and mentor junior designers.

Develop full-stack applications using React or Flutter, Python, AWS, microservices, APIs, databases, and CI/CD pipelines. Integrate AI technologies, implement application and data security, manage cloud architecture according to the AWS Well-Architected Framework, and oversee the application lifecycle. Collaborate with cross-functional teams and mentor junior engineers.

Build and manage production-grade conversational, generative, and agentic AI applications using Amazon Bedrock, Bedrock AgentCore, and AWS Strands. Lead voice and chat bot development, agent orchestration, prompt engineering, tool calling, evaluation, security, monitoring, optimization, and responsible AI controls. Develop scalable cloud-native architectures using AWS services, improve agent accuracy and reliability, and support enterprise AI governance and performance.

Develops and maintains automated test suites, creates testing frameworks and scenarios, executes functional and regression testing, and reports quality metrics. Collaborates with Scrum teams on requirements, backlog grooming, release validation, defect resolution, and process improvements. Manages testing workflows, mitigates automation risks, ensures compliance with QA standards, and supports scalable automation implementations using tools such as AccelQ and Rally.

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 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.