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Engineer, AI - AI Evaluation & Model Risk Lead

Full-time

BrickRed Systems

We are seeking an experienced Engineer, AI – AI Evaluation & Model Risk Lead to lead how AI models are evaluated, cleared, monitored, and documented for enterprise use. This role owns model-risk clearance, ongoing model evaluation, model cards, evaluation harnesses, and test suites to ensure AI models are measured, documented, and current.

The ideal candidate will have hands-on experience with machine learning models, AI tools, Python, cloud computing, data analysis, data modeling, model tuning, prompt engineering, and model evaluation . You will collaborate with Safety Standards, Cyber, Responsible AI, and cross-functional teams to support the safe and effective adoption of AI solutions.

Key Responsibilities

  • Own initial model-risk clearance and approved-use ratings that gate AI models into use.
  • Own ongoing model evaluation and re-clearance following model version changes.
  • Evaluate models against live traffic and identify model drift.
  • Author and maintain model cards documenting what was tested, approved use cases, and identified risks.
  • Build and run AI evaluation harnesses and test suites aligned with established Safety Standards.
  • Collaborate with Cyber teams responsible for security red-teaming and Responsible AI teams.
  • Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems.
  • Develop, test, debug, document, and communicate application and component development activities.
  • Validate technical results with user representatives and support overall solution integration.
  • Select appropriate technical solutions by reusing, improving, reconfiguring, or creating components.
  • Optimize application development for efficiency, cost, and quality .
  • Review and create unit test cases, scenarios, test plans, and execution results .
  • Contribute to HLD, LLD, SAD, architecture, application features, business components, and data models .
  • Perform defect root-cause analysis and mitigation and identify proactive quality improvements.
  • Support release processes, configuration management, documentation, project delivery, and technical presentations.
  • Interface with customers and development teams to clarify requirements and provide technical guidance.

Required Qualifications

  • 2+ years of professional experience in relevant AI, machine learning, software development, or data-focused roles.
  • Bachelor's degree with 3 years of related work experience , OR advanced degree with 1 year of related work experience , OR equivalent combination of education and experience.
  • Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field preferred.
  • 2–4+ years of experience developing and deploying machine learning models , including fine-tuning and prompt engineering.
  • 2–4+ years of experience with AI tools and software development using Python or R .
  • 2–4+ years of experience collaborating with cross-functional teams to integrate AI solutions into business workflows.
  • Strong knowledge of Cloud Computing .
  • Strong experience in Data Analysis, Data Management, and Data Modeling .
  • Knowledge of Model Tuning and Prompt Engineering .
  • Strong understanding of Model Evaluation and AI model-risk concepts.
  • Experience creating and maintaining Model Cards & Documentation .
  • Understanding of Model Risk & Clearance processes.
  • Strong analytical and problem-solving abilities with the ability to work under pressure and manage multiple tasks.

Preferred Qualifications

  • Experience with AI model-risk evaluation and clearance .
  • Experience building and maintaining AI evaluation harnesses and test suites .
  • Experience evaluating models against production/live traffic and identifying model drift.
  • Experience with model cards, model documentation, and AI governance practices .
  • Experience with machine learning fine-tuning and prompt engineering .
  • Preferred certifications include:
  • Certified Analytics Professional (CAP)
  • Machine Learning Certification
  • Certified Data Scientist (CDS)

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

Vacancy posted 1 day ago
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