Architect

Area(s) of responsibility Job Description: GenAI Solution Architect Key ResponsibilitiesArchitecture OwnershipDefine 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 deploymentsCloud‑native services (S3, Aurora/PostgreSQL, Secret Manager)Ensure alignment with enterprise security, including SSO (Entra ), network restrictions, and secure access patterns.Design & EnhancementsLead 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)Dev Sec Ops pipelines (Jenkins, Bitbucket, Artifactory)Continuously optimize architecture for performance, scalability, cost, and reliability.Client Engagement & ApprovalsWork directly with customers to:Understand business requirements and translate them into technical solutionsPresent architecture designs and solution approachesObtain architecture approvals and align on roadmapAct as the primary technical interface for all architecture‑related discussions.Engineering LeadershipGuide development teams on:Implementation aligned with approved architectureAPI design and microservices patternsSecure coding and deployment practicesConduct architecture and code reviews to ensure adherence to standards.Provide technical mentorship and resolve complex issues.Delivery GovernanceEnsure all development adheres to:Approved architectureCustomer requirementsSecurity and compliance standardsProactively identify and resolve architectural risks and bottlenecks.Track alignment with Dev Ops/ML Ops practices and CI/CD pipelines.Deployment & Operations AlignmentDefine deployment strategies using:Kubernetes clusters with ingress/load balancingCI/CD pipelines for automated deploymentsEnsure integration with monitoring/logging frameworks (Grafana, Prometheus, AWS Monitoring).Drive best practices for production readiness and operational excellence.#J-18808-Ljbffr

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