AI Prompt Engineer

ECS Corporate Services; Arlington (VA); In loco; USD 120.000 - 140.000; Tempo pieno

Descrizione del lavoro

Everforth ECS in Arlington, VA, seeks an AI Prompt Engineer to design and govern AI-assisted workflows for the CISA TESS program, transforming security data into actionable intelligence using enterprise Copilot tools.

Candidates should have 3+ years’ AI/ML experience, TS clearance (or ability to obtain), and DoD 8140/8570 IAT II certification; the role emphasizes rigorous testing, governance, and reproducible practices.

Competenze

• 3+ years of experience working with AI/ML tools or large language models.
• Demonstrated expertise in generative AI prompt engineering techniques (chain-of-thought, few-shot framing, system instructions).
• DoD 8140/8570 IAT II requirements met or feasible certification path established.

Mansioni

• Structured prompt design for software vulnerability analysis and risk summaries.
• Model testing across enterprise temperature and grounding parameters to reduce hallucinations.
• Governance: document prompts and maintain a version-controlled repository of reusable prompts.

Conoscenze

AI/ML tooling experience

Prompt engineering

Governance & documentation

Formazione

Security+ (DoD 8140/8570 IAT II)

Strumenti

Microsoft Copilot

M365 Copilot

GovCloud AI Environment

Descrizione del lavoro

Everforth ECS is seeking an AI Prompt Engineer to work in Arlington, VA .ECS is seeking talented professionals to join our growing team supporting the Cybersecurity and Infrastructure Security Agency's (CISA) Technical Engineering and Support Services (TESS) program. TESS is CISA's integrated, capability-driven mission ecosystem designed to scale across mission and delivery spaces within the DHS/CISA/Cybersecurity Division. Job Description The Prompt Engineer (Vulnerability & Risk Analytics) designs and governs AI-assisted workflows that accelerate the analysis of software vulnerability and risk data for the TESS program. Operating on-site in Arlington, VA, the engineer will utilize CISA-approved enterprise AI tools (primarily Microsoft Copilot) to transform complex security datasets into actionable intelligence. The position requires disciplined testing, structured framework design, and detailed documentation to ensure all AI outputs are reliable, secure, and reproducible in a federal cybersecurity environment.

Key Responsibilities

• Structured Prompt Design: Craft, deploy, and refine structured system and user prompts utilizing advanced role-play and constraint strategies to support software vulnerability analysis, CVE/CWE parsing, and threat risk summaries.
• Model Optimization & Parametric Testing: Systematically test model outputs across varied enterprise temperature and grounding parameters to eliminate hallucinations in risk scoring and threat summarization.
• Governance & Prompt Library Management: Document prompt patterns, maintain a centralized, version-controlled repository of reusable prompts, and establish clear guidelines for when to apply specific techniques.
• Quality Gates & Reproducibility: Enforce rigorous validation and reproducibility rubrics to benchmark prompt accuracy, consistency, and repeatability across software supply chain and vulnerability data feeds.
• Operational Alignment: Translate manual CISA cybersecurity workflows into standardized AI-assisted templates to assist technical delivery teams and capability leadership.

Salary Range: $120,000 - $140,000

General Description of Benefits

• Active Top Secret (TS) clearance with the ability to obtain DHS/CISA Suitability.
• 3+ years of professional experience working with AI/ML tools or large language models, with a strong preference for candidates supporting federal, defense, or intelligence organizations.
• Experience with Primary Tooling: CISA-approved AI toolsets (Enterprise Microsoft Copilot / M365 Copilot / GovCloud AI Environment)
• CompTIA Security+ or an equivalent CompTIA certification meeting DoD 8140/8570 IAT Level II requirements. Demonstrated expertise in generative AI prompt engineering techniques (such as chain-of-thought, few-shot framing, and system instructions) and prompt evaluation/testing methodologies.
• Proven capability to document, standardize, and scale repeatable technical practices for broader team adoption.