Senior AI Metrics Architect & Platform Lead

Ampcus Inc; Chantilly (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Ampcus Inc. is seeking a Data Scientist, AI Metrics & Portal to own the full lifecycle of AI program metrics and to design, build, and operate a modern AI Metrics Hub.

The role combines data science, analytics engineering, AI, and software development to rapidly develop extensible analytics capabilities. The position involves defining standardized AI metrics, architecting data and application layers, and delivering AI-powered dashboards and self-service exploration in an agile environment.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Analytics, or related field.
• 6–10+ years of experience in data science, analytics engineering, or related field.
• Proven experience owning the full lifecycle of metrics/KPI frameworks (definition through implementation).
• Experience building data products, analytics platforms, or metrics systems.

Responsibilities

• Own the full lifecycle of AI metrics, including definition, implementation, and monitoring.
• Architect scalable data models and KPI definitions for enterprise use.
• Develop and operate metrics pipelines, calculations, and data quality checks.
• Build a lightweight AI Metrics Hub with dashboards and self-service analytics.
• Lead SAFe/Agile delivery and cross-functional collaboration.

Skills

Advanced SQL

Python

Data modeling & KPI design

RAG (Retrieval-Augmented Generation)

Vector search

Analytics platform development

Education

Bachelor’s degree in Data Science/CS/Analytics

Master’s degree in Data Science/CS/Analytics

Tools

Databricks

ETL/Data pipelines

FastAPI

React

D3 / charting libraries (ECharts, Recharts)

Job description

Ampcus Inc. is seeking a Data Scientist, AI Metrics & Portal to own the full lifecycle of AI program metrics and to design, build, and operate a modern AI Metrics Hub.

The role combines data science, analytics engineering, AI, and software development to rapidly develop extensible analytics capabilities. The position involves defining standardized AI metrics, architecting data and application layers, and delivering AI-powered dashboards and self-service exploration in an agile environment.