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Parsons

Digital infrastructure and security solutions provider

AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeArlington County, Arlington, VA, USA$112.2k - $196.4kIn-person

About the Job

Requirements

  • An active TS/SCI security clearance is required.
  • A bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field is required.
  • At least five years of experience in machine learning, AI engineering, software engineering, or a related technical field is required.
  • Seven years of related work experience is required.
  • Hands-on experience developing and deploying machine learning or AI solutions in production environments is required.
  • Experience developing AI/ML APIs, services, or application integrations is required.
  • Proficiency in Python and experience with modern AI/ML frameworks and libraries are required.
  • Experience with MLOps and machine learning lifecycle management is required.
  • Experience with Databricks, including MLflow and/or Databricks Workflows, is required.
  • Experience developing, orchestrating, and monitoring production AI/ML workflows is required.
  • A strong understanding of model evaluation, validation, monitoring, and performance optimization is required.

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 APIs and services that enable AI capabilities to interact 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 processes for model validation, evaluation, monitoring, and continuous improvement of AI/ML capabilities.
  • Design scalable AI/ML solutions that operate 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.

Desired Qualifications

  • 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.
  • An advanced degree or certifications in AI/ML, data science, cloud, or related technical disciplines.

About the Company

Parsons

Digital infrastructure and security solutions provider

Parsons provides digitally enabled solutions in national security, defense, and global infrastructure. Its work spans government and commercial clients, offering services in systems and software engineering, quality assurance, compliance, and security, along with large-scale infrastructure projects and advanced technology implementations. The company helps clients by delivering long-term, contract-based engagements that include AI readiness, data preparation for AI applications, and secure, reliable systems. A key differentiator is its breadth across diverse markets and its emphasis on rigorous systems engineering, QA, compliance, and security to ensure the integrity of critical operations while harnessing AI to improve efficiency and safety. Parsons’ goal is to solve complex security and infrastructure challenges through measurable, value-driven solutions and long-lasting partnerships with clients.

Company size
10,001+
Company stage
IPO
Headquarters
Chantilly, VA
Founded
1944

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