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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design, development, and deployment of AI and ML models, ensuring compliance with federal security standards. Proficient in Python and Typescript, with a strong understanding of data engineering and modern AI frameworks.
Highest-signal resume keywords
AI/ML Solution DevelopmentPython ProficiencyAWS Deployment ExperienceAgentic AI FrameworksTechnical Team Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI/ML Model DevelopmentPythonTypescriptData EngineeringData ModelingPerformance OptimizationCI/CDAgile MethodologiesData VisualizationCybersecurity Principles
Soft Skills
Technical MentorshipCollaboration
Tools & Technologies
AWSAzureGCPDockerKubernetesGitJiraPower BITableau
Certifications & Qualifications
Master’s Degree in AI or Machine LearningDoD Secret Clearance Eligibility
Industry Keywords
Federal Security StandardsZero Trust ArchitectureRMF ComplianceFedRAMP ComplianceDigital Modernization
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformKubernetesPythonTableauTypeScript
About the role
Key responsibilities & impact- Lead the design, development, and deployment of scalable AI and ML models and systems
- Translate business requirements into technical solutions across multiple federal missions
- Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization
- Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments
- Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers
- Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation
- Ensure all solutions meet federal security, compliance, and cloud architecture standards
Requirements
What you’ll need- Master’s degree in AI, Machine Learning, or a related field
- Minimum of 5+ years of hands-on experience in AI/ML solution development
- Demonstrated experience leading AI/ML initiatives or technical teams
- Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks
- Proficiency in Python and Typescript for application development and advanced scripting
- Experience deploying AI solutions in AWS, Azure, or GCP environments
- Familiarity with CI/CD, containerization (Docker, Kubernetes), and DevOps principles
- Experience with Agile methodologies and tools (e.g., Git, Jira)
- Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance
- Strong understanding of data engineering and data modeling concepts
- Experience with data visualization tools such as Power BI or Tableau
- Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance
- Prior experience with federal or public sector digital modernization projects
- Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development