Lead the design, implementation, and governance of enterprise AI solutions, defining reference architectures, standards, and operational practices across the organization.
Salary range specific to this role: $180,000–$230,000 + discretionary incentive bonus + benefits, depending on various factors including, without limitation, individual and organizational performance.
- Define and own the enterprise AI reference architecture, including patterns for LLM/ML integration, RAG pipelines, and Agentic AI platforms, ensuring alignment with enterprise architecture and security standards.
- Architect secure integration patterns for external AI services (LLMs and ML APIs), including data handling, access controls, and auditability, and guide engineering teams in implementing them.
- Design retrieval-augmented generation (RAG) architectures for document-heavy workflows that scale across multiple enterprise data sources.
- Lead the design and rollout of an Agentic AI platform reference architecture, partnering with Architecture and Engineering on implementation.
- Define and govern reusable AI components and platform building blocks that accelerate delivery across multiple use cases.
- Bachelor’s or master’s degree in computer science, Information Systems, or a related field, or equivalent professional experience.