Applied AI/ML Engineer for Cybersecurity & Cloud

Parsons; Maryland; On-site; USD 140,000 - 190,000; Full time

Job summary

Parsons is seeking an AI/ML Software Engineer to apply artificial intelligence and machine learning to cybersecurity challenges. You will develop full stack apps using LLMs and RAG, design AI/ML models, and integrate them into a secure cloud data platform.

You will work with data engineers and stakeholders to define requirements, validate outputs, and ensure compliance with cybersecurity and data privacy standards. Experience with Python, RESTful APIs, and cloud environments is essential.

Qualifications

• Develop AI/ML-enabled capabilities for data mining, predictive modeling, and knowledge discovery.
• Integrate AI/ML workflows into secure, cloud-based data architectures with standardized APIs.
• Collaborate with data engineers and stakeholders to define requirements, validate outputs, and support mission deliverables.

Responsibilities

• Develop full stack apps and services leveraging LLMs, RAG, agentic workflows and other AI capabilities.
• Design, deploy, and monitor AI/ML models and tools for data mining and predictive modeling.
• Ensure AI/ML workflows comply with DoW cybersecurity, data privacy, and access control, including isolated cloud environments.
• Assist knowledge transfer and training activities, including tutorials and best practices for AI/ML usage.

Skills

Python

REST APIs

Prompt engineering

ML concepts

LLMs & RAG

Cloud platforms

SQL

Containers

Security & compliance

Team collaboration

Education

Bachelor of Science in Computer Science, Cybersecurity, Information Systems, or related field

Tools

PowerShell

AWS / Azure

Job description

Parsons is seeking an AI/ML Software Engineer to apply artificial intelligence and machine learning to cybersecurity challenges. You will develop full stack apps using LLMs and RAG, design AI/ML models, and integrate them into a secure cloud data platform.

You will work with data engineers and stakeholders to define requirements, validate outputs, and ensure compliance with cybersecurity and data privacy standards. Experience with Python, RESTful APIs, and cloud environments is essential.