HR AI Solutions and Governance Lead

Job Description:

Airbus Commercial is looking for an HR AI Solutions and Governance Lead to join our HR Digital team in Herndon, Virginia.

As an AI Solutions and Governance Lead for Airbus in North America, you will lead the advancement of next-generation HR automation and technology. In this senior technical position, you will play a critical role in designing and governing state-of-the-art AI solutions that transform our human resources operations. Key responsibilities include overseeing the end-to-end architecture of HR agent workflows, implementing robust AI model governance frameworks, and upholding ethical standards and compliance across all HR AI initiatives. Working alongside global and regional teams across HR, Digital, Audit, and Legal, you will connect overarching HR strategies with technical execution to drive enterprise innovation. Additionally, you will safeguard data integrity and ethical compliance throughout automated processes, leveraging modern AI tools to optimize compliance operations.

Meet the Team:

Working in our Human Resources department, it’s our mission to help support Airbus’ greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.

Your Working Environment:

The Washington, D.C. metro area is home to multiple Airbus offices: In our nation’s capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters – located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!

How We Care for You:

- Financial Rewards: Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan and the ability to participate in an Employee Stock Ownership Plan (“ESOP”)
- Work/Life Balance: Paid time off including personal time, holidays and a generous paid parental leave program.
- Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
- Individual Development: Upskilling and development opportunities through our global Leadership University, including unlimited access to 10,000+ e-learning courses focusing on ways to develop your employability, certifications, career path as well as the opportunity to participate in accelerated development programmes and both national and international mobility.

Your Challenges:

- Design and implement complex HR agent workflows for tasks such as policy retrieval (RAG), onboarding triage, and automated compliance reporting.
- Lead automation initiatives across all HR functions in North America, identifying opportunities to enhance efficiency and effectiveness through AI.
- Develop advanced prompt architectures and orchestrate tool-calling with key HR systems like Workday and various Applicant Tracking Systems (ATS).
- Lead initiatives to audit AI models for bias and ensure compliance with regulatory standards, including EEOC guidelines and the EU AI Act.
- Establish and enforce stringent data privacy protocols for worker data, safeguarding Personal Identifiable Information (PII) and Protected Health Information (PHI).
- Define and implement comprehensive model governance guardrails, overseeing the entire lifecycle of AI solutions in HR.
- Design and implement dedicated AI agents aimed at automating complex regulatory reporting and compliance operations.
- Establish robust governance, monitoring, and validation frameworks for automated HR reporting models and agentic decision workflows.
- Secure underlying data foundations for compliance operations, including data tagging, data catalogues, line-of-sight auditing, and data governance.

Your Boarding Pass:

- 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.
- A minimum of 8 years of professional experience in a technical role, preferably within data science, machine learning, or a related field.
- A minimum of 4 years of experience in statistical analysis and classical machine learning (ML).
- A minimum of 2 years of experience focused on model governance, AI ethics, and data privacy.
- At least 2 years of development experience with Generative AI (GenAI), including the design of agentic workflows and prompt engineering.
- Experience with cloud platforms like Google Cloud Platform (GCP) or AWS including services related to AI and machine learning (e.g., Vertex AI, AutoML, and AI Infrastructure) and data engineering (e.g., S3, Data Factory, BigQuery).

Knowledge, Skills, Demonstrated Capabilities:

- Expertise in designing end-to-end AI/ML solutions, from concept to deployment and governance.
- Strong programming skills in Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, LangChain, Scikit-learn).
- Demonstrated experience with AI governance principles and their practical application in a corporate environment.
- Deep understanding of data privacy regulations (like GDPR) and ethical AI frameworks.
- Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS, including services related to AI and machine learning (e.g., Vertex AI, Bedrock).
- Proven ability to communicate complex technical and governance concepts to non-technical stakeholders.
- Knowledge of ETL processes and data engineering tools (e.g., PySpark, Airflow, Databricks) is highly beneficial.
- Exceptional attention to detail with strong communication, presentation, and time management skills.

Physical Requirements:

Physical Requirements