AI Platform Developer

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.This 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.ResponsibilitiesAdminister, configure, maintain, and enhance the enterprise AI Governance PlatformDevelop, integrate, deploy, and operationalize AI models and solutions spanning machine learning, deep learning, generative AI, and agentic AIManage model onboarding, updates, reassessments, and retirementCustomize platform workflows, forms, assessment templates, dashboards, and reportsSupport model development, testing, validation, deployment, and monitoring across development, testing, and production environmentsTroubleshoot platform incidents, integrations, configuration defects, and model-performance issuesMonitor model performance, drift, availability, and qualityMaintain technical documentation, operational procedures, and knowledge-transfer materialsSupport Responsible AI, model-risk controls, data privacy, and data-governance requirementsCollaborate with AI engineers, governance specialists, and client stakeholders on platform enhancementsRequirementsBachelor's or Master's degree in Artificial Intelligence or a related field6+ years of professional experience in AI engineering, including AI model development, machine-learning implementation, model integration, evaluation, monitoring, and operationalization3+ years of hands-on experience with an enterprise AI Governance Platform, including model onboarding, workflow configuration, assessments, monitoring, or reportingHands-on experience with Python, generative AI, and agentic AIStrong experience with APIs and integrations, MLOps, model deployment, and model lifecycle management in production operationsHands-on experience with model monitoring, performance monitoring, model drift analysis, validation, and troubleshootingExperience applying Responsible AI, Model Risk Management, Data Privacy, and Data Governance in AI environmentsExperience collaborating directly with client stakeholders, AI engineers, and governance specialists to support AI platform operations, governance reviews, troubleshooting, or platform enhancementsAble to work on-siteHands-on experience with TensorFlow, PyTorch, or Scikit-learn is a plusDirect enterprise client-facing experience, including leading client presentations or governance discussions, is a plusBenefitsPrivate Health InsuranceTraining & Development