AI Summary
Lead enterprise-level AI initiatives, design scalable AI solutions, and drive business value.
Key Highlights
Design and implement enterprise-grade AI architecture and frameworks
Evaluate and lead deployment of AI/ML tools and platforms
Ensure seamless integration of AI with enterprise systems
Collaborate with business units to define KPIs and measure ROI
Manage end-to-end AI project delivery
Technical Skills Required
Benefits & Perks
Relocation opportunity
Hybrid contract role (6-12 months)
Opportunity to work with a forward-thinking client
Job Description
AI Enterprise Architect - THIS IS A 6-12 MONTH HYBRID CONTRACT ROLE - OPEN TO RELOCATION
The Doyle Group is partnering with a forward-thinking client to find a talented AI Architect to lead enterprise-level artificial intelligence initiatives. This individual will play a key role in designing and deploying scalable AI and GenAI solutions that align with strategic business objectives. If you’re passionate about bridging advanced technology and practical business value—this is a great opportunity.
In This Role, You Will:
- Design and implement enterprise-grade AI architecture and frameworks, including GenAI/LLM integrations.
- Evaluate and lead deployment of tools and platforms for AI/ML, NLP, computer vision, and predictive analytics.
- Ensure seamless integration of AI with enterprise systems, following data security and compliance standards.
- Collaborate with business units to define KPIs, measure ROI, and drive value from AI projects.
- Manage end-to-end AI project delivery—from scope to launch—while guiding cross-functional teams.
- Serve as the go-to liaison across AI research, data science, engineering, and business stakeholders.
Ideal Candidate Background:
- 5+ years leading AI initiatives in a technical or architectural capacity.
- Strong background in AI/ML development with a focus on GenAI and LLMs.
- Experience architecting and deploying solutions in Azure and/or AWS environments.
- Proficiency with Python (and optionally R, .NET), plus experience with data platforms like Databricks or Azure AI Studio.
- Deep knowledge of modern AI/ML frameworks, cloud-native architecture, and secure solution design.
- Familiarity with Agile methodologies and a strong understanding of AI ethics and governance.
Bonus If You Have:
- Experience with Ollama, Azure AI Foundry, or similar GenAI platforms.
- Background in enterprise-scale data architecture or product development leadership.