Senior AI / Data Engineer: Data Platforms, Machine Learning & Applied AI

Intertwine Associatespartners with federal agencies and other clients to deliver modern data and AI systems. In this remote role based inMount Pleasant, SC, you will lead the design and delivery ofAzure-based data platforms , machine learning, andapplied AI applications, while setting engineering standards and working closely with client teams. This position offers ananticipated base salary range of $130,000–$175,000 per year. You may also be eligible fordiscretionary bonuses, signing or retention incentives, or other variable compensation, which arenot guaranteed .Responsibilities Architect and lead enterprisedata platforms and pipelines on Azure, including Data Lake Storage , Azure SQL , Data Factory, and Microsoft Fabric / Foundry(or equivalent cloud services).Define standards forETL design , schema enforcement , data validation , quality checks, andlineage, and review other engineers’ work against those expectations. Design, build, and deploymachine learning and AI solutions, including applications usinglarge language modelssuch asretrieval-augmented generation , document understanding, andagentic workflows, withevaluation and guardrails .Buildsecure API endpointsandmicroservicesto make data and models available toanalytics and ML platforms .ImplementMLOps practicescoveringexperiment tracking , model registries , CI/CD , containers , monitoring, andcost and performance tuning .Applydata and AI governanceforcompliance , reproducibility , auditability, andresponsible AI, including federal frameworks such as theNIST AI Risk Management Framework .Translate mission and business needs into technicalroadmaps , estimates, andbriefings for client leadership .Mentor engineers and data scientists and lead technical work across multidisciplinary teams. Requirements7+ yearsof experience building data pipelines, machine learning systems, or AI applications in production, including2+ yearsleading technical work. Expert Python(includingPandasandNumPy ) andadvanced SQL, including experience integratingrelational and unstructured sources .Deep hands-on experience with Azure data services, or equivalent depth withAWSorGoogle Cloud .Production experience with machine learning frameworks such asPyTorch , TensorFlow, orscikit-learn .Experience withdata validation , schema enforcement , quality assurance, andgovernanceinregulated environments .Experience designingAPIsandmicroservicesforanalytics and ML platforms .Excellent written and verbal communication, including the ability tobrief senior, non-technical audiences .U.S. citizenship or lawful permanent residencymay be required per contract. Ability to obtain afederal government Public Trustorsecurity clearancewhere required by the assignment.