AI Architect

Key Responsibilities

• Define target state digital architecture across application, data, integration, cloud, and security layers.
• Create architecture roadmaps, technology blueprints, and modernization strategies.
• Lead API strategy, microservices design, and event-driven architecture.
• Design and optimize databases, data warehouses, and data lakes (e.g., Databricks, Snowflake, BigQuery, Redshift).
• Define and Understand Master Data Management, data models, metadata management, lineage, and governance frameworks.
• Ensure data quality, integrity, scalability, and compliance (PCI, PII, etc.).
• Lead cloud application build, migration, and architecture on Azure, AWS, or GCP, including landing zones, networking, IAM, and cost optimization.
• Implement cloud-native patterns: serverless, containers, microservices.
• Design integration patterns (REST, GraphQL, messaging, event streaming).
• Govern API lifecycle and enforce reusable service interfaces.
• Knowledge, background, understanding of fundamental security concepts including data encryption, AuthN/AuthZ, SSO, and managed identities.
• Provide solution architecture for complex initiatives.
• Run POCs, evaluate technologies, and guide engineering teams.
• Collaborate with product, security, compliance, and business stakeholders.
• Architect data platforms supporting BI, ML/AI, and real-time analytics.
• Ensure digital systems support omnichannel, ecommerce, or enterprise workflows.
• Knowledge of multi-agent workflows (planner/supervisor specialist agents) with explicit state management and routing, and interoperability via emerging agent protocols (MCP for tool integration, A2A for agent-to-agent delegation) designed for non-deterministic behavior and real operational constraints.

Required Skills & Competencies

• Technical Skills:
  • Cloud computing (AWS/Azure/GCP)
  • MDM, Data modeling, warehousing, lakehouse, ETL/ELT
  • API design, microservices, event-driven architecture
  • Cybersecurity, IAM, compliance frameworks
  • DevOps, CI/CD, containerization
  • Database management (SQL/NoSQL)
  • Modern digital platforms (CMS, PIM, DAM, ecommerce)
• Soft Skills:
  • Strategic thinking & problem solving
  • Communication with technical & non-technical stakeholders
  • Leadership & cross-functional collaboration
  • Project and time management