HR AI Solutions and Governance Lead

Posted 17 Days Ago
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Herndon, VA, USA
In-Office
120K-135K Annually
Senior level
Aerospace
The Role
Lead the design, deployment, and governance of AI solutions for HR operations. Responsibilities include building agentic workflows, prompt architectures, and HR system integrations; auditing models for bias; ensuring compliance with EEOC, EU AI Act, GDPR, and privacy requirements; establishing governance guardrails; and securing data foundations for automated reporting and compliance. The role partners with HR, Digital, Audit, and Legal teams across North America.
Summary Generated by Built In

Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at [email protected]

  • Notice: Know Your Rights: Workplace Discrimination is Illegal
  • Notice: Pay Transparency Nondiscrimination  (English)
  • Aviso: Transparencia en el Pago No Discriminación (Spanish)

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

  • Onsite:60% Remote: 40%
  • Vision: Daily able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings.
  • Hearing: Daily able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms.
  • Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications.
  • Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): Daily able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts.
  • Carrying: Several times a week able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
  • Lifting: Several times a week able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
  • Pushing / Pulling: Several times a week able to push and pull small office furniture and some equipment and tools.
  • Sitting: Daily able to sit for long periods of time in meetings, working on computer.
  • Squatting / Kneeling: Several times a month able to squat or kneel to retrieve or replace items stored on low shelving.
  • Standing: Daily able to stand for discussions in offices or on production floor.
  • Travel: Rarely able to travel independently and at short notice.
  • Walking (include routine walking such as to a shared printer to retrieve documents): Daily able to walk through office and production areas including uneven surfaces.
  • Appropriate hearing/eye protection may also be required when visiting the shop floor.

Salary range based on the required profile: 120,000USD - 135000USD. Actual minimum and maximum may vary based on geographic differential and location of candidate at offer. Individual pay is based on skills, experience, and other relevant factors. This position offers the following benefits:  Medical insurance, Dental insurance, Vision insurance, Prescription insurance, Employee Assistance Program, Flexible Spending Accounts, Health Savings Accounts, Basic & Voluntary Life and Accidental Death & Dismemberment insurance, Short and Long-term Disability insurance, 401(k), Paid time off including paid holidays, Tuition Assistance, Bonus(es) subject to performance criteria. These are our current benefit offerings for the current plan year and are subject to change without notice.


Take your career to a new level and apply online now!


A full job description will be provided to candidates who progress to the interview stage or any candidate upon request.

Eligible for employment in the US  without current or future need for visa sponsorship.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Americas, Inc.

Employment Type:

US - Direct Hire

Experience Level:

Professional

Remote Type:

Flexible

Job Family:

Digital

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Airbus provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. In addition to federal law requirements, Airbus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, demotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits and training. Airbus expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. As a matter of policy, Airbus does not sponsor visas for US positions unless specified. Only applicants with current work authorization will be considered. Airbus does not offer tenured or guaranteed employment. Employment with Airbus is at will, meaning either the company or the employee can terminate the employment relationship at any time, with or without cause, with or without notice. Airbus reserves the right to revise or change job duties and responsibilities as the need arises. This position description does not constitute a written or implied contract of employment.

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].

Skills Required

  • Bachelor's or Master's degree in Computer Science, Statistics, Engineering, another quantitative field, or equivalent professional experience and education
  • At least 8 years of professional experience in a technical role, preferably 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 development experience with Generative AI, including agentic workflows and prompt engineering
  • Experience with Google Cloud Platform or AWS and related AI, machine learning, and data engineering services
  • Expertise designing end-to-end AI/ML solutions 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 data privacy regulations such as GDPR and ethical AI frameworks
  • Experience communicating complex technical and governance concepts to non-technical stakeholders
  • Knowledge of ETL processes and data engineering tools such as PySpark, Airflow, or Databricks
  • Strong communication, presentation, time management, and attention-to-detail skills

Airbus Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.

  • Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
  • Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
  • Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.

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The Company
HQ: Toulouse
52,655 Employees
Year Founded: 2014

What We Do

Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.

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