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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Software Engineer TS/SCI - **Company:** Parsons Corporation - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $112,200.0 - $196,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Application Integration Architecture, Cloud Computing, Cloud Engineering, Data Governance, Data Security, Information Extraction, Python (Programming Language), Machine Learning, Apache Maven, Microsoft Office, Operational Data Store, Performance Tuning, Tensorflow, Software Engineering, Web Services, Feature Engineering, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Information Technology, Data Management, Machine Learning Operations, Restful APIs, Databricks, Microservices - **Published:** September 23, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9185905/aiml-software-engineer-tssci ## About the Role * 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 What Desired Skills You'll Bring: * 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 ## Description 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. What You'll Be Doing: * 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 ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)