Digital Solutions Architect (Engineer)

Na Oiwi Kane; Huntsville (AL); On-site; USD 160,000 - 183,000; Full time

Job summary

Tactica Solutions LLC seeks a Digital Solutions Architect to design and deploy an enterprise AI-enabled platform for predictive maintenance and readiness across military fleets. This 12-month, temporary position supports USASMDC/G-4 at Redstone Arsenal, with data engineering, analytics, and RAG capabilities to fuse maintenance, supply, and telemetry data into a unified COP.

The role requires DoD experience, a strong Python/SQL background, and expertise with Palantir Foundry or Army 365/Power

Qualifications

• Bachelor’s degree in a quantitative field.
• Active Secret or TS/SCI security clearance (required).
• Experience with DoD logistics and maintenance systems is preferred.
• Strong Python and SQL data-engineering capabilities.

Responsibilities

• Data engineering and pipeline development across diverse data streams.
• Ingest, normalize, and reconcile data from military systems and logistics platforms.
• Develop predictive survival-analysis and maintenance optimization models.
• Design multi-persona dashboards for strategic leaders, logisticians and maintainers.
• Develop Retrieval-Augmented Generation (RAG) interfaces with source-attribution.

Skills

Palantir Foundry

Power Platform

Python (data science)

SQL

Education

Bachelor’s degree in Computer Science or related field

Tools

Palantir Foundry

Army 365 / Power Platform

Python stack

SQL

Job description

Overview

Title: Digital Solutions Architect

Job Location: Redstone Arsenal, Alabama

Travel up to 30% as required to support, inspections, project planning, and stakeholder coordination.

Salary range: $160,000-$183,000

About the Role

Tactica Solutions, LLC is seeking a highly skilled 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, AL.

This is a temporary position with an anticipated duration of up to 12 months. The assignment may end earlier based on organizational needs but is not expected to exceed 12 months. This role is time limited and does not guarantee continued or permanent employment. This role is responsible for designing, developing, and deploying an enterprise-grade, AI-enabled Integrated Readiness and Predictive Maintenance Platform for military weapon systems and equipment fleets. The successful candidate will design and build analytical pipelines, predictive models, and user interfaces that fuse disparate maintenance, supply chain, operational, and telemetry data into a unified Common Operational Picture (COP).

This platform will serve multiple military echelons—from strategic commanders to sustainment logisticians and field maintainers—to forecast component failures, optimize supply-chain actions, and maximize operational readiness across distributed environments. Development will leverage enterprise platforms such as Palantir Foundry, Army 365 (Power Platform/SharePoint), or custom development stacks (e.g., Python, SQL).

Key Responsibilities:

• Integrated Data Engineering & Pipeline Development

• Ingest, normalize, and reconcile highly diverse data streams from tactical maintenance databases (e.g., SAMS-E, GCSS-A, or equivalent military systems of record), supply-chain platforms, Built-In Test (BIT) telemetry, and operational records.

• Build robust pipelines for standardized entity resolution and temporal alignment to produce a coherent, unified analytic corpus across equipment component histories, fault events, and usage cycles.

• Ensure all data schemas are government-owned, compliant, and ready for publication into broader situational awareness networks (such as the Maven Smart System data fabric or other JADC2 architectures).

• Predictive Analytics & Maintenance Optimization

• 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" (the critical parts list that disproportionately drives fleet readiness) to generate early demand signals before operational capabilities degrade.

• Build resource-constrained optimization routines that evaluate alternative maintenance schedules against real-world constraints such as workforce availability, military occupational specialties (MOS), support equipment, and parts inventory.

• Design automated decision-support workflows for lateral transfers and controlled exchanges of critical parts across different units/locations to maximize overall fleet operational readiness.

• Multi-Persona Interface & Dashboard Design

• Configure and customize user interfaces tailored to distinct military personas:

• Strategic Leaders: Map-based geographic dispersion, aggregate fleet readiness metrics, and forward-looking (30/60/180-day) readiness risk forecasts.

• Logisticians: Class IX supply-chain trade spaces, lateral transfer recommendations, and high-payoff parts tracking.

• Maintainers: Prioritized work queues, real-time status updates, and interactive reference tools.

• Integrate conversational AI capabilities, developing Retrieval-Augmented Generation (RAG) frameworks over technical publications and manuals to provide source-attributed answers with precise paragraph citations.

Requirements

Required Skills and Qualifications:

• Required Skills and Qualifications:

• Education & Clearance:

• 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 accessing military networks).
• Platform Proficiency (at least one of the following):
• Palantir Foundry: Deep experience in pipeline building (Data Connection, Contour, Pipeline Builder), Ontology configuration, Workshop application development, and PySpark.
• Army 365 / Microsoft Power Platform: Proven experience in building production-grade workflows, applications, and dashboards using Power Apps, Power Automate, Power BI, and SharePoint within DoD environments.
• Custom Python Stack: Advanced proficiency in Python for data science and engineering (e.g., Pandas, NumPy, Scikit-Learn, PyTorch, SciPy for survival analysis) and SQL for relational database management.
• Data Science & AI/ML Expertise:
• Experience in survival analysis, reliability modeling, time-series forecasting, and optimization algorithms.
• Experience developing or integrating Large Language Model (LLM) interfaces, agentic frameworks, and RAG systems with strict source‑attribution mechanisms.
• Domain Experience:
• Familiarity with DoD logistics, military maintenance systems, Class IX supply chains, and maintenance concepts like Condition-Based Maintenance Plus (CBM+).
• Understanding of military security protocols, including working within Impact Level 5 (IL5) and Impact Level 6 (IL6) environments, CAC/PKI authentication, and role-based access controls.

Physical Requirements:

Work may involve sitting or standing for extended periods of time. Position may require typing and reading from a computer screen. Must have sufficient mobility, including but not limited to bending, reaching, and kneeling to complete daily duties in a timely and efficient manner. May include lifting weight up to thirty (30) pounds as necessary.

Additional Information

Tactica Solutions LLC reserves the right to change or modify job duties and assignments at any time. The above job description is not all-encompassing. Position functions and qualifications may vary depending on business needs.

Equal Employment Opportunity

Tactica Solutions LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally protected characteristics.

Posted Salary Range

USD $160,000.00 - USD $183,000.00 /Yr.