AI Technical Specialist

Accountabilities:

• • Review technical documentation and assess AI-enabled systems against applicable regulatory requirements, standards, guidance, and conformity assessment criteria.
  • Support AI conformity assessments by providing technical expertise and practical guidance to clients and internal stakeholders.
  • Participate in client meetings and contribute technical input to CE marking, certification, and related assessment activities.
  • Apply expertise across relevant AI and machine learning domains to evaluate the technical design, implementation, performance, and risks of AI systems.
  • Provide technical mentoring and guidance to colleagues, helping strengthen organizational AI assessment capabilities and knowledge.
  • Contribute to the development and refinement of AI assessment procedures, technical tools, training materials, testing methodologies, and supporting processes.
  • Participate in internal projects focused on developing, evaluating, and testing AI tools that improve assessment quality, consistency, and efficiency.
  • Support accreditation, quality assurance, governance, and continuous improvement activities related to AI conformity assessment.
  • Identify opportunities to apply AI and machine learning expertise across services, processes, and assessment activities.
  • Collaborate effectively with multidisciplinary and international teams while working independently on technical assignments.

  Requirements:

  • Bachelor’s degree or equivalent in Artificial Intelligence, Computer Science, Software Engineering, Robotics, Medical Device Software, or a closely related technical discipline.
  • At least 4 years of post-graduate professional experience in AI/ML model development, preferably within a regulated industry, research environment, or other technically rigorous setting.
  • Practical knowledge of AI regulations, standards, technical guidance, and conformity or risk assessment principles.
  • Demonstrated expertise in at least two AI/ML areas, such as deep learning, neural networks, supervised or unsupervised learning, classification, regression, fuzzy logic, probabilistic methods, optimization, large language models, or biometrics.
  • Understanding of software development lifecycles, software engineering practices, and risk management principles.
  • Strong analytical and problem-solving abilities, with the capacity to interpret complex technical information and make sound assessment judgments.
  • Excellent written and verbal communication skills, including the ability to explain technical concepts clearly to clients, colleagues, and other stakeholders.
  • Strong relationship-building and collaboration skills, with the ability to work effectively across technical, regulatory, and business functions.
  • Ability to work independently, manage priorities effectively, and maintain high standards of accuracy and quality in a remote environment.
  • Comfortable contributing to a global, multidisciplinary organization and adapting to evolving AI technologies, regulations, and standards.
  • Eligibility to work in the United States without employer-sponsored visa support is required; visa sponsorship is not available for this position.

  Benefits:

  • Competitive annual salary ranging from $119,400 to $140,000, depending on skills, experience, education, location, budget, and internal compensation considerations.
  • Fully remote, home-based working arrangement within the United States.
  • Flexible working hours designed to support work-life balance and individual working preferences.
  • Comprehensive medical, dental, and vision insurance.
  • Life insurance and short-term and long-term disability coverage.
  • 401(k) retirement plan with company contributions.
  • 20 days of annual leave plus bank holidays.
  • Maternal and paid parental leave.
  • Paid bereavement leave.
  • Ongoing learning, training, and professional development opportunities.
  • A broad range of flexible benefits that can be tailored to individual needs and lifestyle.
  • Opportunity to work in an international, multidisciplinary environment across a broad range of industries.
  • Purpose-driven work contributing to safer, more trustworthy, and responsible adoption of AI technologies.
  • Inclusive workplace focused on diversity, belonging, collaboration, and employee development.