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9 дней назад

HR AI Solutions and Governance Lead

120 000 - 135 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
HR AI Solutions and Governance Lead (AI/HR Automation): Designing and governing AI solutions for HR operations, including agent workflows, model governance, compliance reporting, and data privacy with an accent on Generative AI, HR systems integration, and ethical compliance. Focus on building agentic workflows, auditing models for bias, implementing governance guardrails, and securing worker data across automated HR processes.

Location: Herndon Area, Virginia, United States; hybrid arrangement with 60% onsite and 40% remote work. Employment in the United States requires current work authorization; visa sponsorship is not available.

Salary: $120,000–$135,000 per year, with possible geographic differentials and performance-based compensation.

Company

hirify.global is an aerospace and defense company operating across the United States and international markets.

What you will do

  • Design and implement complex HR agent workflows for policy retrieval using RAG, onboarding triage, automated compliance reporting, and other HR processes.
  • Lead AI automation initiatives across North American HR functions and identify opportunities to improve efficiency and effectiveness.
  • Develop prompt architectures and orchestrate tool-calling integrations with Workday and applicant tracking systems.
  • Audit AI models for bias and ensure compliance with EEOC guidelines, the EU AI Act, data privacy requirements, and ethical AI standards.
  • Define model governance guardrails and establish monitoring, validation, and lifecycle frameworks for HR AI solutions and agentic decision workflows.
  • Secure data foundations for compliance operations through data tagging, data catalogues, line-of-sight auditing, and data governance.

Requirements

  • Bachelor’s or master’s degree in computer science, statistics, engineering, another quantitative field, or an equivalent combination of industry experience and education.
  • At least 8 years of professional experience in a technical role, preferably in data science, machine learning, or a related field.
  • At least 4 years of experience in statistical analysis and classical machine learning.
  • At least 2 years of experience in model governance, AI ethics, and data privacy.
  • At least 2 years of Generative AI development experience, including agentic workflow design and prompt engineering.
  • Experience with GCP or AWS AI, machine learning, and data engineering services, including technologies such as Vertex AI, AutoML, AI Infrastructure, S3, Data Factory, and BigQuery.
  • Expertise in end-to-end AI/ML solution design, from concept through deployment and governance.
  • Strong Python programming skills and familiarity with TensorFlow, PyTorch, LangChain, and Scikit-learn.
  • Experience applying AI governance principles in a corporate environment, understanding of GDPR and ethical AI frameworks, and ability to communicate complex technical and governance concepts to non-technical stakeholders.
  • Exceptional attention to detail, communication, presentation, and time management skills.

Nice to have

  • Knowledge of ETL processes and data engineering tools such as PySpark, Airflow, and Databricks.

Culture & Benefits

  • Cross-departmental collaboration with HR, Digital, Audit, Legal, and global and regional teams.
  • Competitive base salary, incentive compensation, possible profit sharing, retirement savings, and employee stock ownership plan participation.
  • Paid time off, holidays, and paid parental leave.
  • Medical, prescription, dental, vision, life, disability, employee assistance, flexible spending, and health savings benefits.
  • Access to Leadership University, more than 10,000 e-learning courses, certifications, career development, and national and international mobility opportunities.
  • Additional benefits include tuition assistance, performance-based bonuses, and a hybrid work arrangement.

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