Principal AI & Machine Learning Engineer
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Job Description
Principal AI/ML Engineer embedding production AI into Common App’s college admissions technology. Leading enterprise LLM workflows, ML pipelines, governance, and technical standards for a mission-driven nonprofit.
Responsibilities:
- Serve as the technical leader responsible for embedding AI into enterprise workflows and analytic processes
- 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
- Provide technical guidance, mentorship, and thought leadership within the organization and broader AI and higher education data community
- Report to the Senior Director, Analytics Engineering
Requirements:
- Candidates must live in the United States
- Willing to travel to attend twice annual Common App Retreat
- 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
- 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 for machine learning and AI development
- 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
- Experience with large-scale cloud data platforms such as Databricks, Snowflake, or 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 for translating complex AI/ML concepts to non-technical stakeholders and executive audiences
- Ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment
- Master’s or doctoral degree, relevant AI/ML or cloud certifications, Agile experience, agentic AI framework experience, Databricks AI/MLflow/Model Serving/Genie familiarity, higher education/nonprofit experience, and advanced statistics or causal inference training are ideal-candidate qualifications, not required qualifications
Benefits:
- Work-Life balance
- Virtual-first office
- Paid Time Off (PTO)
- Seven company-wide holidays
- Nine floating holidays
- 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 with 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
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