Senior Generative AI Analyst

Peraton•Reston, VA
•$146,000 - $234,000•Onsite

About The Position

Peraton Labs is seeking a Senior Generative AI Analyst to serve as an expert power user of Peraton[x], Peraton’s no-code enterprise Generative AI platform, and as a direct analytical resource to senior executives. The role combines analytical tradecraft, executive support, and hands-on use of AI tools to deliver timely, high-quality analysis. The analyst translates executive questions into fast, defensible answers by directing AI agents through agentic workflows, natural-language interfaces, data retrieval and fusion, structured analysis, visualization, and automated reporting. The role also helps shape the future of Peraton[x] by providing engineering and product teams with feedback on usability, capability gaps, workflow effectiveness, and high-value use cases. The analyst demonstrates the platform to internal leaders, customers, and industry audiences, and collaborates across executive, analytical, technical, and mission stakeholder groups.

Requirements

  • 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 and synthesizing diverse sources into concise, defensible conclusions and decision-ready briefings.
  • 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 failure modes such as hallucination; experience evaluating AI-generated outputs for accuracy, sourcing, and reliability.
  • Excellent written, verbal, and visual communication skills, including data visualization or dashboard development, and executive presence.
  • Ability to work cross-functionally with technical teams and translate user needs into clear, actionable feedback on platform capabilities.
  • Comfort working in a fast-paced environment where tools, workflows, and priorities change quickly.
  • U.S. citizenship.
  • Ability to work onsite in Reston, Virginia.

Nice To Haves

  • Master’s degree.
  • Background in defense, intelligence, homeland security, or government services.
  • Active security clearance, or 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 standard operating procedures, training materials, or best-practice guides.
  • Familiarity with knowledge management, data curation, or information organization.

Responsibilities

  • Turn broad senior-executive requests into decision-ready analysis and AI-enabled applications.
  • Use Peraton[x] to build multi-step agentic workflows and select models to combine internal data, documents, and open-source information into finished products without writing code.
  • Evaluate and validate AI-generated outputs, verify facts against sources, and flag gaps and assumptions to meet executive standards for accuracy and sourcing.
  • Contribute to quality assurance and evaluation frameworks for AI-assisted analytical products.
  • Develop reusable workflows, templates, prompt strategies, and automated reports for recurring executive requests.
  • Define and document concepts of employment, analytical workflows, operational procedures, and best practices for adoption by other teams.
  • Provide engineering and product teams with feedback on usability, capability gaps, and high-value use cases, and help prioritize platform development.
  • Design and deliver demonstrations, pilots, and proof-of-concept workflows for internal leaders, customers, and industry audiences.
  • Collaborate with executives, analysts, engineers, and mission stakeholders to identify high-value analytical use cases.
  • Support platform-user training, onboarding, and mentoring, sharing best practices and lessons learned.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Health savings account
  • Short- and long-term disability
  • Employee assistance program (EAP)
  • Parental leave
  • 401(k)
  • Paid time off (PTO) for vacation
  • Company-paid holidays
  • Employees may be eligible for overtime, shift differential, and a discretionary bonus, depending on the position.
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