AI/ML Software Engineer TS/SCI

Parsons Corporation•Arlington, VA

3d•$112,200 - $196,400

About The Position

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.

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

Nice To Haves

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

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