AI/ML Software Engineer TS/SCI
Base Career · Virginia, United States · 3 wk ago
EngineeringFull-time
About the Role
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.
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
Requirements
- 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
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field
- 7 years of related work experience
Skills
- 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
Security Clearance Requirement: Active TS/SCI security clearance
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.