Senior Generative AI Analyst

Position Summary

Peraton Labs is seeking a Senior Generative AI Analyst to be an expert power user of Peraton[x], Peraton's no-code enterprise Generative AI platform, and a direct analytical resource to senior executives. The role combines analytical tradecraft, executive support, and hands-on use of AI tools to produce timely, high-quality analysis.

You will turn executive questions into fast, defensible answers by directing AI agents through the full range of Peraton[x] capabilities: agentic workflows, natural language interfaces, data retrieval, data fusion, structured analysis, visualization, and automated reporting. The ideal candidate is a seasoned analyst with executive presence who is comfortable with diverse data types and sources.

You will also help shape where Peraton[x] goes next. You will give the engineering and product teams direct feedback on usability, capability gaps, workflow effectiveness, and high-value use cases, and you will show internal leaders, customers, and industry audiences what the platform can do.

Key Responsibilities

• Serve as a go-to resource for senior executives, turning broad requests into decision-ready analysis and AI-enabled applications
• Act as an expert power user of Peraton[x], building multi-step agentic workflows and selecting the right models to fuse internal data, documents, and open-source information into finished products, without writing code
• Evaluate and validate AI-generated outputs, verifying facts against sources and flagging gaps and assumptions to ensure every product meets executive standards for accuracy and sourcing
• Contribute to the development of quality assurance and evaluation frameworks for AI-assisted analytical products
• Develop reusable workflows, templates, prompt strategies, and automated reports that make recurring executive requests faster and more consistent
• Help define and document concepts of employment, analytical workflows, operational procedures, and best practices for other teams to adopt
• Provide continuous feedback to engineering and product teams on usability, capability gaps, and high-value use cases, and help prioritize platform development
• Design and deliver demonstrations, pilots, and proof-of-concept workflows that showcase platform value to internal leaders, customers, and industry audiences
• Collaborate with executives, analysts, engineers, and mission stakeholders to identify high-value analytical use cases
• Support training, onboarding, and mentoring of platform users, sharing best practices and lessons learned across the organization

Required Qualifications

• Minimum of a Bachelor's degree in Business, Data Analytics, Information Systems, Economics, or a related field
• 12+ years of experience in data, business, or strategic analysis, or a related analytical role
• Proven experience directly supporting senior executives, synthesizing diverse sources into concise, defensible conclusions and decision-ready briefings
• Demonstrated hands-on experience using agentic AI systems and large language models (LLMs) to build multi-step workflows, applications, or analytical products from structured and unstructured data
• Strong working knowledge of LLM capabilities and limitations, including model selection, prompt engineering, and common failure modes such as hallucination, with experience evaluating AI-generated outputs for accuracy, sourcing, and reliability
• Excellent written, verbal, and visual communication skills, including data visualization or dashboard development, with executive presence
• Ability to work cross-functionally with technical teams, translating user needs into clear, actionable feedback on platform capabilities
• Comfort working in a fast-paced environment where tools, workflows, and priorities change quickly
• US Citizenship
• Ability to work onsite in Reston, VA

Desired Qualifications

• Master's degree
• Background in defense, intelligence, homeland security, or government services
• Active security clearance, or the ability to obtain one
• Experience with workflow automation, no-code/low-code platforms, SQL, or Python
• Experience designing AI evaluation methods, benchmarks, or quality assurance frameworks
• Experience leading AI adoption, pilots, or technology transitions, including developing SOPs, training materials, or best-practice guides
• Familiarity with knowledge management, data curation, or information organization