{"schemaVersion":"jobsearcher.job.v1","id":"ff911e93bcfe7a6a3aa8d55f","url":"https://jobsearcher.com/jobs/ff911e93bcfe7a6a3aa8d55f","canonicalUrl":"https://jobsearcher.com/jobs/ff911e93bcfe7a6a3aa8d55f","title":"Lead AI/ML Solutions Architect & Data Engineer","description":"Are you a visionary technologist who loves shaping high-level AI strategies but still gets excited about writing production-grade code and deploying models? We are looking for a Lead AI/ML Solutions Architect & Data Engineer to bridge the gap between business strategy and cutting-edge technical execution.In this role, you won't just draw architectures on a whiteboard—you will actively build, govern, and scale them. You will design enterprise-grade AI/ML architectures, establish robust data governance, implement MLOps pipelines, and write the core code that powers our advanced analytics engine.Key ResponsibilitiesAI/ML Solution Architecture: Design, build, and deploy scalable, secure, and high-performance AI/ML architectures. Turn complex business problems into robust technical solutions.Hands-on Development: Actively write clean, maintainable, and optimized code using Python, SQL, and R to develop data pipelines, statistical models, and machine learning algorithms.Technology & Data Strategy: Define the long-term technology roadmap for our data and AI initiatives. Evaluate emerging tools, frameworks, and cloud capabilities to keep our stack ahead of the curve.Data Strategy & Governance: Establish and enforce framework standards for data quality, privacy, security, and compliance. Ensure our data assets are organized, accessible, and structured for advanced analytics.Data Science & Advanced Analytics: Apply advanced statistical modeling, data mining, and machine learning techniques to uncover deep insights and drive automated decision-making.MLOps & Model Lifecycle Management: Build and manage end-to-end MLOps pipelines. Oversee the entire model lifecycle—from data ingestion and training to deployment, monitoring, CI/CD automation, and retraining.Cloud Infrastructure (Azure Databricks): Serve as the hands-on expert for our Azure Databricks environment, optimizing workspace configurations, managing Delta Lake architectures, and ensuring efficient compute utilization.Required Skills & QualificationsExperience: 6+ years of experience in Data Engineering, Data Science, or Solution Architecture, with at least 2+ years in a hands-on architectural or lead role.Core Technical Stack: Mastery of Python and SQL is required; strong proficiency in R for statistical modeling is highly preferred.Platform Expertise: Deep, hands-on experience building and optimizing pipelines within Azure Databricks (including Delta Lake, MLflow, and Spark).MLOps Mastery: Proven track record of implementing MLOps frameworks (e.g., MLflow, Azure Machine Learning, Kubeflow) to manage model drift, versioning, and deployment.Strategic Thinking: Strong understanding of data governance principles (lineage, metadata management, security) and the ability to align technical design with business outcomes.Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related quantitative field.If you have a background as one or more of these (Principal Architect - AI & Data Engineering, Enterprise Data & Machine Learning Architect, Director of AI/ML Architecture (Hands-on), Technology Strategy Architect – Data & AI, Principal AI/ML Engineer, MLOps Architect & Data Infrastructure Lead, Lead Azure Databricks Engineer & Solutions Architect, Senior Data Science Architect & Engineer, Lead AI/ML Governance & Solutions Architect, Head of Model Lifecycle Management & Data Strategy, Director of Data Strategy, Analytics & Governance), we would love to see your application!","company":"Niksoft Systems","rawCompany":"niksoft systems","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-04T08:24:05.563Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AI/ML Solutions Architect & Data Engineer","description":"Are you a visionary technologist who loves shaping high-level AI strategies but still gets excited about writing production-grade code and deploying models? We are looking for a Lead AI/ML Solutions Architect & Data Engineer to bridge the gap between business strategy and cutting-edge technical execution.In this role, you won't just draw architectures on a whiteboard—you will actively build, govern, and scale them. You will design enterprise-grade AI/ML architectures, establish robust data governance, implement MLOps pipelines, and write the core code that powers our advanced analytics engine.Key ResponsibilitiesAI/ML Solution Architecture: Design, build, and deploy scalable, secure, and high-performance AI/ML architectures. Turn complex business problems into robust technical solutions.Hands-on Development: Actively write clean, maintainable, and optimized code using Python, SQL, and R to develop data pipelines, statistical models, and machine learning algorithms.Technology & Data Strategy: Define the long-term technology roadmap for our data and AI initiatives. Evaluate emerging tools, frameworks, and cloud capabilities to keep our stack ahead of the curve.Data Strategy & Governance: Establish and enforce framework standards for data quality, privacy, security, and compliance. Ensure our data assets are organized, accessible, and structured for advanced analytics.Data Science & Advanced Analytics: Apply advanced statistical modeling, data mining, and machine learning techniques to uncover deep insights and drive automated decision-making.MLOps & Model Lifecycle Management: Build and manage end-to-end MLOps pipelines. Oversee the entire model lifecycle—from data ingestion and training to deployment, monitoring, CI/CD automation, and retraining.Cloud Infrastructure (Azure Databricks): Serve as the hands-on expert for our Azure Databricks environment, optimizing workspace configurations, managing Delta Lake architectures, and ensuring efficient compute utilization.Required Skills & QualificationsExperience: 6+ years of experience in Data Engineering, Data Science, or Solution Architecture, with at least 2+ years in a hands-on architectural or lead role.Core Technical Stack: Mastery of Python and SQL is required; strong proficiency in R for statistical modeling is highly preferred.Platform Expertise: Deep, hands-on experience building and optimizing pipelines within Azure Databricks (including Delta Lake, MLflow, and Spark).MLOps Mastery: Proven track record of implementing MLOps frameworks (e.g., MLflow, Azure Machine Learning, Kubeflow) to manage model drift, versioning, and deployment.Strategic Thinking: Strong understanding of data governance principles (lineage, metadata management, security) and the ability to align technical design with business outcomes.Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related quantitative field.If you have a background as one or more of these (Principal Architect - AI & Data Engineering, Enterprise Data & Machine Learning Architect, Director of AI/ML Architecture (Hands-on), Technology Strategy Architect – Data & AI, Principal AI/ML Engineer, MLOps Architect & Data Infrastructure Lead, Lead Azure Databricks Engineer & Solutions Architect, Senior Data Science Architect & Engineer, Lead AI/ML Governance & Solutions Architect, Head of Model Lifecycle Management & Data Strategy, Director of Data Strategy, Analytics & Governance), we would love to see your application!","datePosted":"2026-09-04T08:24:05.563Z","dateModified":"2026-09-04T08:24:05.563Z","hiringOrganization":{"@type":"Organization","name":"Niksoft Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ff911e93bcfe7a6a3aa8d55f"},"url":"https://jobsearcher.com/jobs/ff911e93bcfe7a6a3aa8d55f"}}