{"id":3679937,"url":"https://alion.io/job/valleysoft-ai-platform-developer","title":"AI Platform Developer","company":{"id":6680,"name":"Valleysoft","domain":"valleysoft.com","url":"https://alion.io/company/valleysoft","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-03T12:45:54Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T22:09:22Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Valleysoft is a regional IT services provider delivering enterprise applications, cloud technologies, data platforms, and process-management solutions to global clients. Working across the Information Technology and Services sector, the company helps organizations strengthen and scale their digital capabilities through practical, business-focused technology solutions.\nThis role sits at the intersection of AI engineering, platform operations, and governance. As an AI Platform Developer, you will help shape and sustain enterprise AI capabilities by supporting the systems, processes, and controls that enable models to be developed, deployed, monitored, and managed effectively across their lifecycle while working closely with technical and business stakeholders.\nResponsibilities\nAdminister, configure, maintain, and enhance the enterprise AI Governance Platform.\nDevelop, integrate, deploy, and operationalize AI models and solutions spanning machine learning, deep learning, generative AI, and agentic AI.\nManage model onboarding, updates, reassessments, and retirement.\nCustomize platform workflows, forms, assessment templates, dashboards, and reports.\nSupport model development, testing, validation, deployment, and monitoring across development, testing, and production environments.\nTroubleshoot platform incidents, integrations, configuration defects, and model-performance issues.\nMonitor model performance, drift, availability, and quality.\nMaintain technical documentation, operational procedures, and knowledge-transfer materials.\nSupport Responsible AI, model-risk controls, data privacy, and data-governance requirements.\nCollaborate with AI engineers, governance specialists, and client stakeholders on platform enhancements.\nRequirements\nBachelor’s or Master’s degree in Artificial Intelligence or a related field.\n6+ years of professional experience in AI engineering, including AI model development, machine-learning implementation, model integration, evaluation, monitoring, and operationalization.\n3+ years of hands-on experience with an enterprise AI Governance Platform, including model onboarding, workflow configuration, assessments, monitoring, or reporting.\nHands-on experience with Python, generative AI, and agentic AI.\nStrong experience with APIs and integrations, MLOps, model deployment, and model lifecycle management in production operations.\nHands-on experience with model monitoring, performance monitoring, model drift analysis, validation, and troubleshooting.\nExperience applying Responsible AI, Model Risk Management, Data Privacy, and Data Governance in AI environments.\nExperience collaborating directly with client stakeholders, AI engineers, and governance specialists to support AI platform operations, governance reviews, troubleshooting, or platform enhancements.\nAble to work on-site.\nHands-on experience with TensorFlow, PyTorch, or Scikit-learn is a plus.\nDirect enterprise client-facing experience, including leading client presentations or governance discussions, is a plus.\nBenefits\nPrivate Health Insurance\nTraining & Development","description_format":"text","description_chars":3088,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health 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