AI-Driven Enterprise Architect – Financial Services

Enterprise Engineering Inc. (EEI)

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Enterprise Engineering Inc. (EEI) seeks a Mid-Level UA Architect to bridge AI, enterprise architecture, and financial services. You will design target-state architectures, integrate AI/ML into enterprise platforms, and collaborate with executives, product, risk, and data teams to enable scalable, compliant digital capabilities.

The role emphasizes governance, cloud modernization, and collaboration. 5–8 years in EA, hands-on AI/ML, and TOGAF or cloud certifications are preferred.

Qualifications

  • 5-8 years of experience in enterprise or solution architecture.
  • Hands-on AI/ML implementations in enterprise environments.
  • Experience with large-scale digital transformation programs.
  • Familiarity with regulatory requirements in financial services.

Responsibilities

  • Design and maintain enterprise architecture blueprints aligned with business objectives.
  • Lead AI/data architecture and govern lifecycle management of AI initiatives.
  • Engage executives and stakeholders to translate requirements into scalable solutions.
  • Define cloud-native patterns and modernization roadmaps for platforms.

Skills

Enterprise Architecture
AI/ML platforms
Cloud platforms
TOGAF
Governance & Risk
DevSecOps
API design
Security architecture
Stakeholder management
Leadership

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure
AWS
GCP
Databricks
Snowflake
Vertex AI

Job description

Enterprise Engineering Inc. (EEI) seeks a Mid-Level UA Architect to bridge AI, enterprise architecture, and financial services. You will design target-state architectures, integrate AI/ML into enterprise platforms, and collaborate with executives, product, risk, and data teams to enable scalable, compliant digital capabilities.

The role emphasizes governance, cloud modernization, and collaboration. 5–8 years in EA, hands-on AI/ML, and TOGAF or cloud certifications are preferred.

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