Location: Bangalore  Job Type: Full-time Experience: 14+ year Greenway Health’s Architecture Office is seeking a Senior Product Architect to drive innovation within our Data Insights Portfolio . This role requires expertise in .NET Core, Java, Angular, Microservices, Python, AWS Cloud Solutions, Terraform, TPL/Multithreading, Data Engineering, and GenAI/Agentic AI. As a key technical leader, you will d esign, build, and optimize scalable, AI-powered cloud-native applications , integrating data-driven automation, real-time analytics, and intelligent decision-making . You will architect and implement cutting-edge solutions that leverage AI/ML, big data, high-performance computing, and modern cloud technologies , ensuring high availability, security, and scalability. This position demands strong technical leadership, hands-on development experience, and a deep understanding of cloud-native architectures . You will collaborate across teams to define architectural best practices, drive modernization initiatives, and enhance the efficiency of our technology landscape. Essential Duties and Responsibilities Define end-to-end architecture for scalable, cloud-native applications using .NET Core, Angular, and AWS. Design event-driven and microservices-based solutions ensuring high scalability, resilience, and performance. Implement TPL (Task Parallel Library), multithreading, and async programming for high-performance computing. Integrate GenAI-powered automation and Agentic AI-based decision-making into business processes. Ensure compliance with AWS Well-Architected Framework and industry best practices. Architect real-time and batch data pipelines using AWS Glue, Kinesis, Redshift, Athena, and S3. Optimize ETL/ELT workflows using Python, SQL, and PySpark. Implement data lake and data warehouse solutions to support AI-driven analytics. Work with big data frameworks (Apache Spark, Kafka, Airflow) for large-scale data processing. Ensure data security, compliance, governance, and AI model interpretability. Architect AWS cloud-native solutions using Lambda, API Gateway, EMR, ECS, EKS, RDS, DynamoDB, and S3. Automate infrastructure provisioning with Terraform, AWS CDK, and CloudFormation. Set up CI/CD pipelines using GitHub Actions, AWS CodePipeline, or Jenkins. Ensure cost optimization, performance tuning, and security in cloud-based applications. Optimize parallel computing using TPL, async/await, and concurrency models. Architect solutions for distributed computing and high-throughput AI workloads. Ensure efficient thread synchronization and resource management for real-time AI inferencing. Lead cross-functional engineering teams in AI/ML, cloud, and software development. Establish best practices for API security, authentication, and authorization (OAuth 2.0, JWT, OpenID Connect). Conduct architecture reviews, POCs, and technology evaluations for emerging AI/ML solutions. Gen AI/ Agentic AI, ML, Advanced Analytics Architect LLM-powered applications using AWS Bedrock, OpenAI, or Hugging Face models. Implement prompt engineering, fine-tuning, and vector search (FAISS, Pinecone, OpenSearch) for AI-powered insights. Design Agentic AI workflows for autonomous decision-making, adaptive automation, and reinforcement learning. Develop AI-driven chatbots, copilots, and intelligent assistants for enterprise applications. Optimize AI pipelines with MLOps best practices, model monitoring, and drift detection. Deploy AI/ML models at scale using AWS SageMaker, TensorFlow, or PyTorch. Implement LLM-based content generation, anomaly detection, and predictive analytics. Collaborate with data scientists and ML engineers to integrate AI models into production applications.