Developer (Jr, Mid and Sr.)

Parsons Corporation•Minneapolis, MN

4d•$88,400 - $154,700

About The Position

Parsons is hiring AI/ML Automation Engineers/Developers at junior, mid, and senior levels to support mission-critical cybersecurity work. The role focuses on developing cybersecurity capabilities through software development, AI-enabled automation, advanced analytics, and emerging technologies, including agentic AI. The team works collaboratively on complex cyber problems and produces high-quality analysis in support of customer mission requirements. The position is part of Parsons’ local Analytics & Engineering team, which focuses on defensive cyber operations, technical excellence, and collaboration. Team activities include technical talks, training, social events, and hands-on innovation at the Cybersecurity Center of Excellence Lab in Columbia, Maryland. The work includes researching, assessing, prototyping, developing, integrating, testing, deploying, and operating cybersecurity technologies across on-premises, cloud (primarily Azure), and hybrid environments. The role also supports vulnerability-campaign tooling, process-improvement analytics, production metrics, and capabilities for digital forensics, intrusion analysis, vulnerability analysis, and broader cybersecurity operations. An active TS/SCI clearance is required.

Requirements

Junior level: bachelor's degree and 2–4 years of experience.
Mid-level: bachelor's degree and 5–9 years of experience.
Senior level: bachelor's degree and 10 or more years of experience.
Must have a current, active TS/SCI clearance.
Experience with at least one programming language, such as Java, Python, or C#; the posting describes the required level as enough to be dangerous.
Experience with relational and NoSQL database technologies.
Willingness to learn, grow, and contribute in a collaborative technical environment.
Experience with AI frameworks and standards, including MCP, agentic AI, and OpenAPI.
An IAT II certification.

Nice To Haves

Experience with GraphQL, REST, and/or WebSockets.
Experience developing and managing microservices.
Experience adding guardrails to LLM interactions.
Experience building tools and scripts to guide AI interaction with APIs.
Experience optimizing token usage of agents.

Responsibilities

Bring AI-enabled automation and advanced analytics to vulnerability-campaign tooling.
Integrate technical capabilities into existing tools.
Develop process-improvement analytics and production metrics.
Address customer interests in AI-enabled threats, automation, and advanced analytical capabilities.
Conduct research, technical assessments, prototyping, and software development to address cybersecurity mission requirements.
Investigate emerging technologies, including agentic AI, and recommend capabilities that may improve digital forensics investigations, intrusion analysis, vulnerability analysis, and general cybersecurity operations.
Support software development, integration, testing, deployment, and operations of cybersecurity technologies across on-premises, cloud (primarily Azure), and hybrid environments.