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 design, 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.

Experience and Education

• Bachelor’s degree in engineering
• AWS Certified Solutions Architect – Professional or equivalent certifications.
• US Healthcare Domain Experience/Certification
• Experience with LLMs (GPT, Claude, Llama), vector databases, and fine-tuning models.
• Experience working in Agile/Scrum environments.
• Experience with REST, gRPC, API Gateway, and event-driven architecture.

Skills, Knowledge, and Abilities

• .NET Core / C# – Expertise in backend development and multithreading (TPL).
• Frontend development with state management (NgRx, Redux).
• Proficiency in PySpark, Pandas, SQL, and AWS data services.
• Expertise in Kafka, Spark, Flink, and Airflow.
• AWS services including SageMaker, Bedrock, Lambda, ECS/EKS, Terraform, and CI/CD.
• Expertise in RDS (PostgreSQL, MySQL, SQL Server) and DynamoDB, MongoDB, or Cassandra.
• IAM, OAuth, JWT, encryption, and cloud security best practices.

Nice to have: 

• Familiarity with AI agents, reinforcement learning, and autonomous decision systems.
• Soft Skills
• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to lead and mentor software and AI teams.

Work Environment/Physical Demands

• While at work, this position is primarily a sedentary job and requires that the associate can work in an environment where they will consistently be seated for the majority of the workday
• This role requires that one can sit and regularly type on a keyboard the majority of their workday
• This position requires the ability to observe a computer screen for long periods of time to observe their own and others’ work, as well as incoming and outgoing communications via the computer and/ or mobile devices