FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Principal AI & Machine Learning Engineer
Common App. Embed artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research division.
Posted 9/15/2026full-timeArlington • Virginia • United StatesLead💰 $144,160 - $162,180 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in embedding artificial intelligence into enterprise workflows and analytic processes, with a strong focus on scalable, secure, and compliant AI solutions. Proficient in machine learning, data governance, and mentoring teams to drive organizational value through applied AI techniques.
Highest-signal resume keywords
Machine Learning EngineeringAI Integration into WorkflowsNatural Language ProcessingProduction-Grade AI/ML SystemsData Governance Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningArtificial IntelligenceData ScienceRPythonSQLSupervised LearningUnsupervised LearningLarge Language ModelsEnd-to-End ML Pipelines
Soft Skills
Interpersonal SkillsCommunication SkillsMentorshipCollaborationProblem-Solving
Tools & Technologies
Scikit-learnPyTorchTensorFlowDatabricksSnowflakeBigQueryHugging FacePrompt EngineeringRetrieval-Augmented GenerationTool/Agent Orchestration
Industry Keywords
AI GovernanceResponsible AI PrinciplesEnterprise Data StrategyCompliance FrameworksData Analytics
Tech Stack
Tools & technologiesBigQueryCloudPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Embed artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research division.
- Lead applied, production-ready AI/ML initiatives that embed artificial intelligence into enterprise workflows.
- Partner with Data Engineering, Data Governance, and cross-functional business stakeholders.
- Ensure AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy.
- Set standards for AI development practices.
- Mentor teammates on applied AI techniques.
- Translate complex machine learning capabilities into enterprise-grade systems that deliver lasting organizational value.
- Provide technical guidance, mentorship, and thought leadership within the organization and across the broader AI and higher education data community.
- Report to the Senior Director, Analytics Engineering.
- Operate as a senior individual contributor and technical authority.
Requirements
What you’ll need- Candidates must live in the United States.
- Employees can live anywhere in the US or its territories and must be willing and able to travel for periodic in-person events, including semi-annual Common App retreats, department retreats, and strategic leadership sessions.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative or technical field; or an equivalent combination of education and experience.
- 8–10 years of progressive experience in machine learning, AI engineering, or data science, with at least 3 years focused on applied AI and production ML systems.
- Experience integrating LLMs and generative AI into enterprise analytic or operational workflows.
- Experience working within enterprise data governance and compliance frameworks.
- Expertise in supervised and unsupervised learning, natural language processing, and large language model integration, including OpenAI, Anthropic, and open-source LLMs via Hugging Face.
- Experience designing and deploying production-grade AI/ML systems and end-to-end ML pipelines covering training, evaluation, versioning, deployment, and monitoring.
- Proficiency in R and Python; familiarity with scikit-learn, PyTorch, TensorFlow, or equivalent.
- Experience building and operationalizing LLM-powered applications, including prompt engineering, retrieval-augmented generation (RAG), and tool/agent orchestration frameworks.
- Strong SQL skills and experience with large-scale cloud data platforms such as Databricks, Snowflake, and BigQuery.
- Ability to design AI-ready data pipelines within enterprise warehouse environments.
- Knowledge of AI governance, responsible AI principles, and compliance considerations for systems handling sensitive or personally identifiable data.
- Ability to serve as a senior technical individual contributor, set standards, make architectural decisions, and mentor peers without formal management authority.
- Strong interpersonal and communication skills, including translating complex AI/ML concepts for non-technical stakeholders and executive audiences.
- Ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment.
Benefits
Comp & perks- Work-Life balance
- Virtual-first office
- Paid Time Off (PTO)
- Seven company-wide holidays
- Nine floating holidays (prorated depending on start date)
- Sick leave
- Monthly mental health day
- Choice of PC or MAC laptop
- External monitor, keyboard, mouse, and/or headset
- One-time office set-up stipend
- Monthly remote work stipend
- Monthly mobile stipend
- Market-based salaries
- Performance-based bonus
- 403(b) retirement plan
- 5% company contribution
- Additional 5% company match
- 3-year vesting schedule
- Participation may begin immediately
- Choice of two health insurance plans
- Health Savings Account, depending on health plan selection
- Medical Flexible Savings Account, depending on health plan selection
- Vision insurance
- Dental insurance
- Insurance coverage begins on the date of hire
- Dependent Care Flexible Spending Account
- Maven virtual clinic for women’s and family health
- Company provided life and AD&D insurance
- Opportunity to purchase additional life insurance for self, spouse, and dependents
- Company provided short and long-term disability insurance
- Budgeted annual funds for professional development
- Growth opportunities within the company
- Mutual of Omaha Employee Assistance Program
- Mutual of Omaha will preparation services
- Mutual of Omaha travel assistance
- Payroll deduction pet insurance through PinPaws
- 1Password family account
- Diverse, collaborative, team-oriented, creative environment