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Cyber Operations AI​/ML Lead

Job in Linthicum, Anne Arundel County, Maryland, USA
Listing for: Parsons
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Cybersecurity, AI Business & Operations, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 112200 - 196400 USD Yearly USD 112200.00 196400.00 YEAR
Job Description & How to Apply Below

In a world of possibilities, pursue one with endless opportunities. Imagine Next!

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

Job Description:

Parsons is seeking a Cyber Operations AI Lead to identify, develop, and deploy practical artificial intelligence and machine learning capabilities that strengthen a large-scale Government cybersecurity program. This role offers the opportunity to lead a focused AI team, work directly with experienced cyber operations professionals, and turn emerging technology into mission-ready solutions.

As the AI Lead, you will guide the application of AI and machine learning across cybersecurity operations, including threat detection, anomaly analysis, vulnerability management, knowledge management, records management, automation, and operational decision support. You will work closely with cybersecurity subject matter experts to understand mission needs, evaluate AI use cases, assess data readiness, and deliver secure, measurable, and usable capabilities.

You will help shape the program’s AI roadmap while ensuring that models and supporting solutions are developed in accordance with Government-approved data governance, enterprise architecture, cybersecurity, and Dev Sec Ops  requirements. The ideal candidate is both technically capable and mission focused—someone who can translate operational challenges into viable AI solutions and communicate complex technical concepts to technical and nontechnical stakeholders.

You’ll be joining Parsons’ local Analytics & Engineering team, a community known for its strong culture of defensive cyber operations, technical excellence, and collaboration. We invest in both mission success and team connection through regular social events, technical talks, training opportunities, and hands‑on innovation activities at our Cybersecurity Center of Excellence Lab in Columbia, MD. From team lunches and ice cream socials to family‑friendly seasonal events and technical learning sessions, we work hard to create an environment where people can do meaningful work and enjoy being part of the team.

What

You’ll Be Doing:
  • Lead a small team of AI and machine learning professionals supporting cybersecurity operations.
  • Partner with cybersecurity, infrastructure, data, and program leadership to identify high-value AI and ML use cases.
  • Translate mission and operational problems into clearly defined AI objectives, requirements, success criteria, and performance metrics.
  • Evaluate the feasibility, risks, benefits, and expected mission value of proposed AI capabilities.
  • Assess data readiness, including data availability, quality, accessibility, security, labeling, and governance.
  • Recommend data remediation and preparation activities needed to support model development.
  • Research, compare, and recommend appropriate AI and ML techniques, tools, frameworks, and architectures.
  • Support data preparation activities, including data cleaning, transformation, feature engineering, and labeling.
  • Lead the development, testing, tuning, validation, and documentation of AI and ML models.
  • Ensure AI solutions comply with approved data governance policies, enterprise architecture, cybersecurity controls, and applicable Government requirements.
  • Integrate AI and ML capabilities into secure Dev Sec Ops  and MLOps workflows, including version control, automated testing, traceability, and auditability.
  • Coordinate model deployment following Government review and formal acceptance.
  • Monitor model performance,…
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