Software Engineer AI/ML - TS/SCI

Parsons is looking for a highly skilled ML/AI Engineer to join our Joint Staff Chief Digital and Artificial Intelligence Office (CDAO) team.

In this role, you will design, develop, and operationalize AI/ML capabilities within Maven Smart System (MSS) Foundry, enabling automated processing and intelligent management of lessons-learned data.

You will develop agentic AI workflows, production-grade APIs and services, and MLOps capabilities that enable AI models to be deployed, monitored, validated, and continuously improved within secure DoD environments.

• 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

• 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

• Experience with Palantir Foundry / 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

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