Senior Generative AI Analyst: No‑Code Platform Expert

Peraton Labs, Inc.

Reston (VA)

Presencial

USD 146.000 - 234.000

Jornada completa

Hace 10 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Peraton Labs, Inc. seeks a Senior Generative AI Analyst to serve as a power user of Peraton[x], bridging executive questions with defensible AI-powered analysis.

You will guide agentic workflows, manage data fusion from internal and external sources, and deliver timely, high-quality insights for senior leaders. You will also shape platform usability, provide feedback to engineering, and demonstrate capabilities through pilots, demos, and proof-of-concept workflows for internal and external

Formación

  • Bachelor's degree in a relevant field is required.
  • 12+ years in data, business, or strategic analysis or related analytical work.
  • Directly supporting senior executives with concise, defensible conclusions.

Responsabilidades

  • Turn executive questions into decision-ready analysis and AI-enabled applications.
  • Build multi-step agentic workflows and select models to fuse data into outputs without coding.
  • Validate AI outputs against sources and flag gaps to ensure accuracy.
  • Develop QA and evaluation frameworks for AI-driven analytics.

Conocimientos

Executive support
Agentic AI workflows
LLM capabilities
Prompt engineering
Data visualization
Cross-functional collaboration
Executive presence
Fast-paced environment

Educación

Bachelor's degree in Business/Data Analytics/Information Systems/Economics

Herramientas

No-code AI platforms
SQL
Python

Descripción del empleo

Peraton Labs, Inc. seeks a Senior Generative AI Analyst to serve as a power user of Peraton[x], bridging executive questions with defensible AI-powered analysis.

You will guide agentic workflows, manage data fusion from internal and external sources, and deliver timely, high-quality insights for senior leaders. You will also shape platform usability, provide feedback to engineering, and demonstrate capabilities through pilots, demos, and proof-of-concept workflows for internal and external

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