HR AI Solutions and Governance Specialist
Full-time
Airbus
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- Design and implement complex HR agent workflows for tasks such as policy retrieval (RAG), onboarding triage, and automated compliance reporting.
- Drive 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).
- Implement 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.
- Implement 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.
- 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 4 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).
- 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.
- 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.
- 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.
Vacancy posted 5 hours ago
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