Note: The job is a remote job and is open to candidates in USA. SG2 Recruiting has partnered with MASS Group, a company developing a mission-critical manufacturing operating system for defense manufacturers in secure and air-gapped environments. The AI Data Engineer will build data orchestration layers, reliable pipelines, APIs, and integration systems while prototyping and deploying AI and RAG solutions across cloud, government cloud, and on-premises environments.
Responsibilities
- Architect Data Orchestration: Build and extend the core data orchestration layer powering TME 9.0, transitioning customer workflows from human-assisted processes to resilient, automated operations
- Engineer Robust Pipelines: Turn raw application data from TME and complex legacy customer systems into structured, high-performance, and reliable business models
- Prototype and Deploy AI Solutions: Develop, evaluate, and productionize practical AI capabilities—including Retrieval-Augmented Generation (RAG) and LLM-driven workflows—to drive operational value
- Integrate Varied Data Sources: Design and maintain resilient APIs, ETL/ELT pipelines, and integration layers that handle diverse industrial and enterprise data inputs
- Collaborate with Domain Experts: Partner with manufacturing subject matter experts to implement critical Key Performance Indicators (KPIs), outcome measures, and Statistical Process Control (SPC) calculations
- Deploy Across Hybrid Infrastructure: Ensure pipeline and AI architecture functions seamlessly across diverse environments, including AWS GovCloud, Azure Government, and localized, on-premises air-gapped deployments
- Leverage Modern Engineering Practices: Integrate AI tools into your daily engineering workflow to accelerate boilerplate development, scaffolding, and iterative testing
- Prolonged periods of sitting or standing at a desk and working on a computer
- Ability to synthesize complex technical architectures and communicate effectively across cross-functional engineering, product, and client teams
- Ability to travel up to 20% per quarter, which may include traversing commercial manufacturing plants, industrial production floors, and secure government customer facilities
- Must be able to operate effectively in fast-paced environments with ambiguous or evolving requirements
- Related Duties as Assigned
Skills
- * U.S. Citizenship: Must be a verified U.S. Citizen (required due to handling CMMC-compliant defense manufacturing data and export control regulations)
- * Core Data Engineering Competency: Advanced proficiency in SQL, data modeling, relational schema design, and production ETL/ELT pipeline development
- * Software Engineering Foundations: Strong coding background in Python (or comparable scripting languages) with proven ability to build and consume RESTful APIs and system integrations
- * Practical AI & Architecture Mindset: Demonstrated experience prototyping, testing, and hardening AI solutions (such as RAG frameworks and LLM integrations) into repeatable, enterprise-grade architecture
- * Hybrid Deployment Familiarity: Working knowledge of modern data platforms and deployment practices spanning both commercial/government cloud ecosystems and on-premises servers
- * Work Location: 100% Remote (Strong preference for candidates based in EST or CST time zones, or located near Boston, MA or Washington, DC)
- * Travel Expectations: 10% to 20% travel per quarter to visit customer manufacturing sites and secure defense installations for on-site deployments and testing
- * Prolonged periods of sitting or standing at a desk and working on a computer
- * Ability to synthesize complex technical architectures and communicate effectively across cross-functional engineering, product, and client teams
- * Ability to travel up to 20% per quarter, which may include traversing commercial manufacturing plants, industrial production floors, and secure government customer facilities
- * Must be able to operate effectively in fast-paced environments with ambiguous or evolving requirements
- * Security Clearance: Active Public Trust, Secret, or Top Secret security clearance (or eligibility to obtain one in the future)
- * Enterprise Stack Experience: Exposure to C#/.NET web application ecosystems or full-stack architectures
- * Defense & Manufacturing Domain: Familiarity with CMMC compliance, air-gapped systems, Industrial IoT, or manufacturing quality metrics (SPC, yield, OEE)
- * Business Intelligence: Hands-on experience with modern BI tooling, data visualization libraries, and reporting infrastructure
Benefits
- Health coverage
- Dental coverage
- Vision coverage
- Retirement savings plans
- Paid time off
- Professional development support
- 100% remote work
Company Overview