Cloud Architect (GenAI)

Solution Design and Technical Planning:

• Translate high-level requirements into detailed technical architectures for new GenAI platform features.
• Design comprehensive solution architectures that include infrastructure components, service interactions, data flows, and security considerations.
• Create diagrams, technical documentation, and implementation guides for the engineering team that are clear and actionable.
• Determine appropriate configurations to meet performance, security, and cost objectives.

 Security and Compliance Architecture:

• Design solutions that adhere to the project policy framework and industry best practices, performing threat modeling sessions to identify and mitigate security risks.
• Work with project first line of defense to ensure designs meet all security and compliance requirements.
• Implement proper authentication, authorization, and tenant isolation mechanisms in architectural designs.

 Governance and Approval Process Navigation:

• Present architectural designs to the Architecture Review Board (ARB) with clear justifications.
• Address concerns or questions from stakeholders during review processes.
• Modify designs based on feedback from security teams and ARB.
• Document approval decisions and implementation conditions.

 Technical Documentation:

• Create and maintain detailed architectural documentation.
• Document processes, design decisions and their rationales.
• Develop reference architectures for common platform patterns.
• Ensure documentation is accessible and understandable to the engineering team.

 Technology Evaluation and Selection:

• Evaluate existing and emerging tools/technologies to determine fitness for the GenAI platform.
• Perform comparative analysis between potential solutions based on technical requirements, security considerations, cost, and alignment with enterprise architecture.
• Make evidence-based recommendations for technology stack enhancements.
• Create proof of concepts to validate critical architectural decisions when necessary.

 Implementation Support:

• Provide technical guidance to engineering teams during implementation.
• Clarify design details and make decisions on implementation questions.
• Review implementation progress to ensure alignment with the approved architecture.
• Troubleshoot architectural issues that arise during implementation.

 Technology Research and Innovation:

• Proactively monitor industry trends and advancements in GenAI, cloud architecture, and relevant technologies.
• Evaluate how new technologies could enhance the platform capabilities.
• Propose architectural improvements based on research findings.
• Share knowledge with the team through presentations or technical discussions.

Technical Expertise:

• Knowledge of AWS services, particularly:
    – AWS Bedrock and generative AI implementation patterns;
    – Amazon OpenSearch and other vector databases;
    – IAM roles and permissions;
    – API Gateway;
    – EKS cluster architecture and security;
    – Cognito authentication flows;
    – AWS networking (VPC, NLB, Security Groups, VPC Links);
• Understanding of multi-tenant  architecture patterns.
• Experience with containerization and Kubernetes orchestration.
• Knowledge of security principles for AI/ML platforms.
• Costs control, tracking, and budgeting.

Process and Governance:

• Experience navigating enterprise architecture governance processes.
• Familiarity with threat modelling methodologies.
• Understanding of formal architecture review processes.
• Documentation and diagramming skills (e.g., AWS architecture diagrams).

Soft Skills:

• Strong communication skills to explain complex technical concepts.
• Ability to collaborate with security teams, engineering teams, and other stakeholders.
• Problem-solving and critical thinking capabilities.
• Self-motivated research and learning capabilities.