AI/ML Engineer - TS/SCI

Parsons•Arlington, TX

2d•$103,500 - $181,100

About The Position

Parsons is seeking a highly skilled AI/ML Engineer to join its Joint Staff Chief Digital and Artificial Intelligence Office (CDAO) team. The role designs, develops, and operationalizes AI/ML capabilities within Maven Smart System (MSS) Foundry to automate processing and intelligently manage lessons-learned data. It includes developing agentic AI workflows, production-grade APIs and services, and MLOps capabilities to deploy, monitor, validate, and continuously improve AI models in secure DoD environments. The position is part of Parsons’ Federal Solutions team, which delivers resources and services to U.S. government customers supporting missions in defense, security, intelligence, infrastructure, and environmental work. An active Top Secret SCI security clearance is required.

Requirements

Active Top Secret SCI security clearance.
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Minimum 5 years of experience in machine learning, AI engineering, software engineering, or a related technical field.
Hands-on experience developing and deploying machine learning or AI solutions in production environments.
Experience developing AI/ML APIs, services, or application integrations.
Proficiency in Python and experience with modern AI/ML frameworks and libraries.
Experience with MLOps and machine learning lifecycle management.
Experience with Databricks, including MLflow and/or Databricks Workflows.
Experience developing, orchestrating, and monitoring production AI/ML workflows.
Strong understanding of model evaluation, validation, monitoring, and performance optimization.
7 years of related work experience.

Nice To Haves

Experience with Palantir Foundry or MSS Foundry.
Experience developing AI agents, agentic workflows, or LLM-powered applications.
Experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), embeddings, vector databases, or similar generative AI technologies.
Experience applying AI/ML to classification, summarization, information extraction, recommendation, or intelligent routing.
Experience integrating AI/ML capabilities into Foundry applications.
Experience with Databricks Model Serving, Feature Engineering, MLflow, or Unity Catalog.
Experience with REST APIs, microservices, and cloud-native application architectures.
Experience supporting Joint Staff or DoD operational missions.
Familiarity with DoD AI/ML governance, responsible AI, data security, and compliance requirements.
Experience working with structured and unstructured operational data.
Advanced degree or certifications in AI/ML, data science, cloud, or related technical disciplines.

Responsibilities

Design and implement agentic AI workflows to automate classification, summarization, enrichment, and intelligent routing of lessons-learned information.
Develop and integrate AI/ML capabilities within MSS Foundry applications and supporting mission systems.
Design, develop, and maintain APIs and services connecting AI capabilities with Foundry applications, data platforms, and external systems.
Use Databricks MLOps capabilities, including MLflow and Databricks Workflows, for model lifecycle management, orchestration, experimentation, and deployment.
Develop automated model validation, evaluation, monitoring, and continuous-improvement processes.
Design scalable AI/ML solutions for reliable production operation.
Integrate structured and unstructured data sources for AI-enabled mission workflows.
Collaborate with software engineers, data engineers, mission stakeholders, and other technical teams to translate operational requirements into AI/ML solutions.
Monitor production AI/ML systems and troubleshoot performance, reliability, and integration issues.
Apply responsible AI, security, data governance, and model management practices appropriate for secure DoD environments.