AI/ML Software Engineer TS/SCI
$112,200.00 - $196,400.00
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Posted 37 days ago
SENIORITY
Lead
SALARY
$112,200.00 - $196,400.00
About the role
- 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
- What Required Skills You'll Bring: 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 applicationsExperience 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 applicationsExperience 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
