AI/ML Enterprise Architect

LTM

$130K — $180K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12-18 years of IT experience, including 5 years as an Enterprise Solution Architect
  • Proven track record of enterprise-scale AI/ML implementations
  • Strong background in cloud platforms (AWS, Azure, GCP) and data architecture
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Preferred certifications: TOGAF, Cloud Architect, AI/ML certifications

Responsibilities

  • Define and maintain the enterprise architecture roadmap in line with business goals
  • Design comprehensive target state architectures for data, applications, and technologies
  • Establish governance frameworks and best practices for architecture standards
  • Design end-to-end AI/ML architectures including data pipelines and deployment frameworks
  • Identify AI and predictive analytics use cases that align with business value
  • Integrate AI solutions with legacy systems and enterprise platforms
  • Lead cloud-native modernization initiatives and evaluate emerging technologies
  • Ensure compliance with privacy, security, and regulatory standards for AI solutions
  • Communicate effectively with stakeholders, translating strategies into technology solutions
  • Oversee the delivery of large-scale programs from design to implementation

Benefits

  • Opportunities for professional development and advancement
  • Collaborative work environment across cross-functional teams
  • Exposure to cutting-edge technologies in AI and cloud platforms
  • Engagement with executive leadership on technology strategy
  • Involvement in governance and compliance processes
Full Job Description
Role description

Key Responsibilities

Enterprise Architecture Strategy

oDefine and maintain enterprise architecture roadmap aligned with business goals

oDesign targetstate architectures across business data application and technology layers

oEstablish architecture standards governance frameworks and best practices

AI Data Architecture Leadership

oDesign endtoend AI/ML architecture including data pipelines model lifecycle and deployment frameworks

oIdentify enterprise use cases for AI GenAI predictive analytics automation aligned with business value

oEnsure AI solutions are scalable explainable secure and compliant

Technology Integration Transformation

oIntegrate AI solutions with legacy systems and enterprise platforms

oDrive cloudnative and datadriven architecture modernization initiatives

oEvaluate emerging technologies and guide adoption decisions

Governance Risk Compliance

oDefine AI governance models model lifecycle monitoring risk controls

oEnsure compliance with data privacy security and regulatory standards

oEstablish architecture review boards and enforce standards

Stakeholder Management Leadership

oPartner with business leaders to translate strategy into technology solutions

oLead crossfunctional teams data engineering security business units

oProvide executivelevel communication and advisory on technology investments

Delivery Oversight

oGuide large scale programs from architecture design to implementation

oConduct architecture reviews and ensure alignment with standards

oDrive continuous improvement in architecture practices

Qualifications

Experience

o12-18 years in IT with 5 years as Enterprise Solution Architect

oProven experience in enterprise scale AI/ML implementations

oStrong background in cloud platforms AWS,Azure,GCP and data architecture

Education

oBachelorsMasters in Computer Science Engineering or related field

oCertifications preferred TOGAF Cloud Architect AI/ML certifications

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