Senior Principal AI Architect for Enterprise AIaaS

Vertex, Inc.; Pennsylvania; Hybrid; USD 229,800 - 298,700; Full time

Job summary

Vertex, Inc. is seeking a highly senior AI engineer to serve as the principal technical authority for the Commercial AI Center of Excellence.

You will own the AIaaS enablement strategy, spanning data, model training, retrieval, and production operations, while setting enterprise standards for orchestration and governance. You will lead cross-team initiatives, guide tool and MCP design, and influence architectural decisions across value streams, ensuring scalable, responsible AI across production

Qualifications

• 15+ years in AI/ML software engineering with enterprise-scale impact.
• Deep expertise across traditional AI/ML and LLM orchestration in production environments.
• Strong data governance, lineage, licensing, and PII handling expertise.
• Experience designing developer platforms, APIs, and multi-agent orchestrations.

Responsibilities

• Set multi-year AIaaS vision and enterprise standards.
• Define enterprise model-training strategy and personally train/fine-tune models when needed.
• Establish data sourcing, governance, and large-scale pipelines.
• Architect LLM-to-tools/data/sub-agents orchestration and MCP server patterns.
• Design end-to-end retrieval/RAG systems and evaluation/observability strategy.
• Drive build-vs-buy decisions and long-term architectural bets within regulated SaaS.

Skills

Distributed systems

Cloud-native architecture

LLM orchestration

Retrieval/RAG

Model training & fine-tuning

Responsible AI & guardrails

Cost/perf optimization

Mentoring engineers

Regulated SaaS understanding

Education

Bachelor's degree in CS/Engineering

Advanced degree preferred

Tools

Azure Cloud

Vector databases

MCP servers

Job description

Vertex, Inc. is seeking a highly senior AI engineer to serve as the principal technical authority for the Commercial AI Center of Excellence.

You will own the AIaaS enablement strategy, spanning data, model training, retrieval, and production operations, while setting enterprise standards for orchestration and governance. You will lead cross-team initiatives, guide tool and MCP design, and influence architectural decisions across value streams, ensuring scalable, responsible AI across production