AI Engineer

ValleySoft is a regional IT services provider delivering enterprise technology, integration, and process-focused solutions to global clients. Working across the Information Technology and Services sector, the company helps organizations solve complex operational and technical challenges through practical, scalable solutions. This is an opportunity to join a business focused on applying advanced technologies in ways that deliver measurable value for clients and stakeholders.As an AI Engineer, you will play a key role in shaping and delivering enterprise AI solutions across a range of real-world use cases. The role is suited to someone who enjoys combining technical depth with strong cross-functional collaboration, helping translate business needs into robust AI capabilities while supporting quality, governance, and operational excellence throughout the model lifecycle.ResponsibilitiesDesign, develop, implement, integrate, and deploy enterprise AI models and AI-enabled solutions across machine learning, deep learning, generative AI, and agentic AIAssess AI use cases and perform model testing, validation, and quality evaluationMonitor model performance and drive continuous improvement throughout onboarding, updates, reassessments, and retirementTroubleshoot model behavior, performance degradation, and integration issuesSupport AI governance workflows, monitoring measures, evaluation templates, dashboards, and reportingCollaborate with platform developers on enhancement testing and production operationsMaintain technical documentation, operating procedures, and knowledge-transfer materialsSupport Responsible AI reviews, model risk management, data privacy, data governance, and compliance controlsCoordinate with business users, technical teams, client stakeholders, platform specialists, and governance teamsRequirementsRequired QualificationsBachelor's degree in Artificial Intelligence6+ years of professional experience in AI, machine learning, AI solution implementation, model evaluation, AI governance support, and AI operationalizationHands-on experience designing, building, implementing, and deploying machine learning, deep learning, generative AI, and agentic AI solutionsStrong Python skills for AI/ML development and implementation, with experience using TensorFlow, PyTorch, or Scikit-learnPractical knowledge of AI model lifecycle management and model evaluation, including accuracy, precision, recall, F1-score, and related performance metricsExperience with AI model testing, validation, robustness, quality assessment, and monitoring model drift, data drift, performance degradation, and production model performanceExperience applying MLOps and AI governance practices, including model versioning, deployment pipelines, lifecycle management, documentation, approval workflows, risk assessments, and compliance controlsExperience with model risk management, data privacy, data governance, and Responsible AI practices, including fairness, bias detection, explainability, transparency, and human oversightExperience collaborating with AI engineers and technical teams, partnering with business users to understand AI use cases, coordinating with platform and integration teams, working with governance and risk specialists, and communicating with client stakeholdersFluent English and proficiency in ArabicEligible to work in Saudi Arabia and able to work on-sitePreferred QualificationsExperience with vector databases such as Pinecone, FAISS, Chroma, or Milvus, and with RAG frameworks such as LangChain or LlamaIndexExperience with cloud AI services such as Azure AI, AWS SageMaker, or Google Vertex AIExperience in a regulated industry such as banking, financial services, or governmentExperience leading client presentations and workshops