Job description
Role Overview
We are looking for an AI Enterprise Architect with a minimum of 7 years of experience. This is a remote position based in the USA, requiring a webcam interview.
- Number of positions: 1
- Length: 4-18 Months
- Work Address: FL (REMOTE)
- Interview Process: Immediate interviews (Webcam Interview)
Core Responsibilities
AI Discovery & Assessment
- Conduct workshops and stakeholder interviews across business and IT functions.
- Assess current-state business processes, data maturity, operational workflows, and technology landscape.
- Evaluate organizational AI readiness, including governance, security, compliance, and operational considerations.
- Identify gaps in tooling, data quality, skills, and operating models that may impact AI adoption.
AI Opportunity Identification
- Identify and prioritize AI/GenAI use cases based on business value, feasibility, risk, and implementation complexity.
- Develop business cases and ROI estimates for proposed initiatives.
- Collaborate with functional leaders to align AI initiatives to strategic priorities.
- Categorize opportunities across automation, analytics, copilots, workflow optimization, customer experience, and operational efficiency.
Strategic Roadmap Development
- Build phased AI adoption roadmaps with near-, mid-, and long-term initiatives.
- Define implementation sequencing, dependencies, resource requirements, and success metrics.
- Recommend governance structures, operating models, and adoption strategies.
- Provide executive-level recommendations regarding platforms, tooling, and organizational enablement.
Executive Engagement & Enablement
- Present findings and recommendations to leadership teams.
- Facilitate cross-functional alignment discussions.
- Support AI awareness and adoption planning activities.
- Translate technical concepts into business-focused recommendations.
Preferred Experience Required
- 7-15 years of experience in technology consulting, digital transformation, enterprise architecture, or strategic program leadership.
- Experience leading enterprise AI or Generative AI strategy initiatives.
- Strong understanding of AI/ML and GenAI capabilities, limitations, and enterprise adoption patterns.
- Experience conducting workshops, stakeholder interviews, and executive presentations.
- Strong communication and organizational change management skills.
Preferred Technical Exposure
- Microsoft Copilot / Azure OpenAI
- AWS AI Services / Bedrock
- Google Vertex AI
- Data & analytics ecosystems
- AI governance and responsible AI frameworks
- Process automation and workflow orchestration
- Enterprise architecture and integration patterns