AI/ML Engineer (TS/SCI) - Production ML & MLOps Lead

Parsons; Arlington (VA); On-site; USD 112,000 - 196,000; Full time

Job summary

Parsons seeks a highly skilled ML/AI Engineer to design, develop, and operationalize AI/ML capabilities within MSS Foundry for secure DoD environments. You will build agentic workflows, production APIs, and MLOps pipelines to enable model deployment, monitoring, validation, and continuous improvement.

You will collaborate with software/data engineers and mission stakeholders to translate requirements into scalable AI solutions, ensure secure handling of data, and leverage Databricks tools for

Qualifications

• Active TS/SCI security clearance.
• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or 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.

Responsibilities

• Design and implement AI agentic workflows that 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 robust APIs and services that enable AI capabilities to interact with Foundry applications, data platforms, and external systems.
• Leverage Databricks MLOps capabilities, including MLflow and Databricks Workflows, to support model lifecycle management, orchestration, experimentation, and deployment.
• Develop automated processes for model validation, evaluation, monitoring, and continuous improvement of AI/ML capabilities.
• Design scalable AI/ML solutions capable of operating reliably in production environments.
• Integrate structured and unstructured data sources to support 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.

Skills

Python

ML/AI engineering

REST APIs

MLOps

Databricks MLflow

Production AI/ML systems

Security/compliance in DoD

Education

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field

Tools

Databricks

MLflow

Unity Catalog

Foundry MSS

APIs/microservices

Job description

Parsons seeks a highly skilled ML/AI Engineer to design, develop, and operationalize AI/ML capabilities within MSS Foundry for secure DoD environments. You will build agentic workflows, production APIs, and MLOps pipelines to enable model deployment, monitoring, validation, and continuous improvement.

You will collaborate with software/data engineers and mission stakeholders to translate requirements into scalable AI solutions, ensure secure handling of data, and leverage Databricks tools for