Digital Solutions Architect (Engineer)

Tactica Solutions•Huntsville, AL
•$160,000 - $183,000•Onsite

About The Position

Tactica Solutions, LLC is seeking a temporary Digital Solutions Architect to support a Systems Engineering & Technical Assistance (SETA) contract for the U.S. Army Space and Missile Defense Command (USASMDC), Office of the Deputy Chief of Staff, Logistics & Engineering (G-4), at Redstone Arsenal, Alabama. The assignment is anticipated to last up to 12 months, may end earlier based on organizational needs, and is not expected to exceed 12 months. It is time limited and does not guarantee continued or permanent employment. Travel up to 30% may be required for support, inspections, project planning, and stakeholder coordination. The role designs, develops, and deploys an enterprise-grade, AI-enabled Integrated Readiness and Predictive Maintenance Platform for military weapon systems and equipment fleets. It builds analytical pipelines, predictive models, and user interfaces that combine maintenance, supply-chain, operational, and telemetry data into a unified Common Operational Picture. The platform supports military users at multiple echelons, from strategic commanders to sustainment logisticians and field maintainers, to forecast component failures, optimize supply-chain actions, and improve operational readiness across distributed environments. Development may use Palantir Foundry, Army 365 (Power Platform/SharePoint), or custom development stacks such as Python and SQL.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Operations Research, Engineering, or a related quantitative field.
  • Active Secret or TS/SCI security clearance required for access to military networks.
  • Proficiency in at least one of the following platform areas: Palantir Foundry, Army 365/Microsoft Power Platform, or a custom Python and SQL stack.
  • For Palantir Foundry: experience with Data Connection, Contour, Pipeline Builder, Ontology configuration, Workshop application development, and PySpark.
  • For Army 365/Microsoft Power Platform: experience building production-grade workflows, applications, and dashboards using Power Apps, Power Automate, Power BI, and SharePoint within DoD environments.
  • For a custom Python stack: advanced Python proficiency for data science and engineering, including tools such as Pandas, NumPy, Scikit-Learn, PyTorch, and SciPy for survival analysis, as well as SQL for relational database management.
  • Experience in survival analysis, reliability modeling, time-series forecasting, and optimization algorithms.
  • Experience developing or integrating LLM interfaces, agentic frameworks, and RAG systems with strict source-attribution mechanisms.
  • Familiarity with DoD logistics, military maintenance systems, Class IX supply chains, and Condition-Based Maintenance Plus (CBM+).
  • Understanding of military security protocols, including work in IL5 and IL6 environments, CAC/PKI authentication, and role-based access controls.

Responsibilities

  • Ingest, normalize, and reconcile data from tactical maintenance databases, supply-chain platforms, Built-In Test telemetry, and operational records.
  • Build data pipelines with standardized entity resolution and temporal alignment to create a unified analytic corpus of equipment component histories, fault events, and usage cycles.
  • Ensure data schemas are government-owned, compliant, and ready for publication into situational-awareness networks such as the Maven Smart System data fabric or other JADC2 architectures.
  • Develop and deploy predictive survival-analysis and temporal-degradation models to forecast component failures based on operating hours, usage cycles, and environmental exposure.
  • Focus predictive analytics on High-Payoff Mission-Essential Components to generate early demand signals before operational capabilities degrade.
  • Build resource-constrained optimization routines to evaluate maintenance schedules against workforce availability, military occupational specialties, support equipment, and parts inventory.
  • Design automated decision-support workflows for lateral transfers and controlled exchanges of critical parts across units and locations.
  • Configure and customize interfaces for strategic leaders, logisticians, and maintainers, including readiness maps and forecasts, Class IX supply-chain tools, parts tracking, work queues, status updates, and reference tools.
  • Integrate conversational AI capabilities by developing Retrieval-Augmented Generation frameworks over technical publications and manuals that provide source-attributed answers with precise paragraph citations.
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