Architect

Area(s) of responsibility Job Description: GenAI Solution Architect Key Responsibilities Architecture Ownership Define and own end‑to‑end solution architecture for GenAI applications across cloud (AWS/Azure) environments. Design scalable architectures integrating: LLM orchestration (e.g., router/config layers) APIs (Frontend, Core, Backend) Vector databases (e.g., PG Vector) Kubernetes‑based deployments Cloud‑native services (S3, Aurora/PostgreSQL, Secret Manager) Ensure alignment with enterprise security, including SSO (Entra ID), network restrictions, and secure access patterns. Design & Enhancements Lead design of new features and enhancements in GenAI platforms. Evaluate and incorporate: LLM platforms (e.g., Bedrock/OpenAI/Azure OpenAI) Observability tools (Grafana, Prometheus, Loki) DevSecOps pipelines (Jenkins, Bitbucket, Artifactory) Continuously optimize architecture for performance, scalability, cost, and reliability. Client Engagement & Approvals Work directly with customers to: Understand business requirements and translate them into technical solutions Present architecture designs and solution approaches Obtain architecture approvals and align on roadmap Act as the primary technical interface for all architecture‑related discussions. Engineering Leadership Guide development teams on: Implementation aligned with approved architecture API design and microservices patterns Secure coding and deployment practices Conduct architecture and code reviews to ensure adherence to standards. Provide technical mentorship and resolve complex issues. Delivery Governance Ensure all development adheres to: Approved architecture Customer requirements Security and compliance standards Proactively identify and resolve architectural risks and bottlenecks. Track alignment with DevOps/ML Ops practices and CI/CD pipelines. Deployment & Operations Alignment Define deployment strategies using: Kubernetes clusters with ingress/load balancing CI/CD pipelines for automated deployments Ensure integration with monitoring/logging frameworks (Grafana, Prometheus, AWS Monitoring). Drive best practices for production readiness and operational excellence. #J-18808-Ljbffr Birlasoft