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Airbus

Manufacturer of commercial aircraft, helicopters, defense

HR AI Solutions and Governance Specialist

Natural Language Processing & LLMsPosted on Nov 12
Full-timeHerndon, VA, USA

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or another quantitative-focused field, or an equivalent combination of industry-related professional experience and education.
  • At least 4 years of professional experience in a technical role, preferably within 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 focused on model governance, AI ethics, and data privacy.
  • At least 2 years of development experience with Generative AI, including the design of agentic workflows and prompt engineering.
  • Experience with cloud platforms such as Google Cloud Platform or AWS, including AI and machine learning services such as Vertex AI, AutoML, and AI Infrastructure, and data engineering services such as S3, Data Factory, and BigQuery.
  • Expertise in designing end-to-end AI and machine learning solutions, from concept to deployment and governance.
  • Strong programming skills in Python and familiarity with TensorFlow, PyTorch, LangChain, and Scikit-learn.
  • Demonstrated experience with AI governance principles and their practical application in a corporate environment.
  • Understanding of data privacy regulations such as GDPR and ethical AI frameworks.
  • Experience with cloud platforms such as Google Cloud Platform or AWS, including services related to AI and machine learning such as Vertex AI and Bedrock.
  • Knowledge of ETL processes and data engineering tools such as PySpark, Airflow, and Databricks is highly beneficial.
  • Strong communication, presentation, and time management skills.
  • Ability to travel independently and at short notice on rare occasions.

Responsibilities

  • Design and implement complex HR agent workflows for policy retrieval using retrieval-augmented generation, onboarding triage, and automated compliance reporting.
  • Drive automation initiatives across North American HR functions by identifying opportunities to improve efficiency and effectiveness through AI.
  • Develop advanced prompt architectures and orchestrate tool-calling with HR systems such as Workday and various applicant tracking systems.
  • Audit AI models for bias and ensure compliance with regulatory standards, including EEOC guidelines and the EU AI Act.
  • Establish data privacy protocols for worker data and safeguard personally identifiable information and protected health information.
  • Define and implement model governance guardrails and oversee the full lifecycle of AI solutions in HR.
  • Design and implement dedicated AI agents to automate complex regulatory reporting and compliance operations.
  • Implement governance, monitoring, and validation frameworks for automated HR reporting models and agentic decision workflows.
  • Secure data foundations for compliance operations, including data tagging, data catalogues, line-of-sight auditing, and data governance.

Desired Qualifications

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

About the Company

Airbus

Manufacturer of commercial aircraft, helicopters, defense

Airbus designs and manufactures a wide range of aerospace products, including commercial airplanes, helicopters, defense systems, and space technologies. Its aircraft and rotorcraft are built with integrated airframes, propulsion, avionics, and digital systems to carry passengers, cargo, or conduct military missions, while its space division covers satellites, orbital infrastructure, launch services, and secure communications. Airbus differentiates itself with an end-to-end portfolio across commercial, defense, and space, a global manufacturing and services network, and a focus on sustainability and digital transformation. Its goal is to enable global mobility and connectivity while reducing aviation’s environmental impact through sustainable aviation and collaborative innovation.

Company size
10,001+
Company stage
IPO
Headquarters
Blagnac, France
Founded
1970

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