ENTERPRISE AI ARCHITECT
Summary
Architect and lead the enterprise AI stack for a diversified investment group, selecting platforms, MLOps, and cloud infrastructure to scale secure AI adoption across portfolio companies.
Role Purpose
Own the end-to-end AI technology architecture for a diversified investment group ensuring scalable secure and business-aligned adoption of AI across portfolio companies and corporate functions.
Key Responsibilities
- Lead selection evaluation and integration of AI platforms LLMs MLOps tools and data infrastructure across the group
- Assess existing IT cloud and data landscapes; define target-state AI architecture
- Design enterprise-grade AI reference architectures (data model integration security)
- Partner with investment teams IT digital and portfolio leadership to align AI initiatives with value creation
- Drive standardization reuse and interoperability across portfolio companies
- Ensure scalability performance reliability and cost efficiency of AI solutions
- Establish architectural governance documentation and best practices
- Evaluate emerging AI technologies for strategic adoption
- Provide technical leadership and mentorship to AI engineers and data teams
- Translate complex AI concepts into executive-level business language
Required Experience & Skills
- 15 years in architecture roles (AI data cloud or enterprise platforms)
- Proven delivery of enterprise-scale AI or advanced analytics platforms
- Strong background in:
- Cloud (AWS Azure GCP)
- Data platforms (lakehouse streaming feature stores)
- MLOps / LLMOps
- API and integration architecture
- Experience in regulated or complex enterprise environments
- Strong stakeholder management and executive communication
Nice to Have
- Consulting or Big Tech background
- Exposure to investment firms conglomerates or shared services models
- Experience with GenAI governance and platform enablement
Vertical:
Technology