AI Architect

Title: AI Data Digital Architect
Duration: 3 months - Temp to perm for right candidate
Location: Remote

Overview

The Data Digital Architect is responsible for designing, developing, and governing enterprise-grade Digital solutions that align with business strategy. This role blends deep technical expertise in Digital, Data, Cloud, and artificial intelligence architecture with strong product intuition, security awareness, and leadership. The Data Digital Architect ensures that Digital initiatives are scalable, ethical, secure, cost-efficient, and integrated into the broader enterprise ecosystem.

Key Responsibilities

• Digital & Enterprise Architecture
  • 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.
• Data Architecture & Governance
  • 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.).
• Cloud Architecture & Platforms
  • Lead cloud application build, migration, and architecture on Azure, AWS, or Google Cloud Platform, including landing zones, networking, IAM, and cost optimization.
  • Implement cloud-native patterns: serverless, containers, microservices.
• Integration, Security, & API Strategy
  • 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.
• Technical Leadership & Delivery
  • Provide solution architecture for complex initiatives.
  • Run POCs, evaluate technologies, and guide engineering teams.
  • Collaborate with product, security, compliance, and business stakeholders.
• Analytics, AI & Digital Enablement
  • 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/Google Cloud Platform)
  • 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

Typical Background & Qualifications

• Bachelor’s or Master’s in Computer Science, IT, Engineering, or related field.
• 7–10 years in data engineering, architecture, digital platform roles.
• Certifications (preferred):
  • Azure/AWS/Google Cloud Platform Architect
  • TOGAF
  • Data governance or security certifications (CISM, CISSP, DAMA)