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Senior Data AI Engineer @IntelliTech
AI / ML
Salary unspecified
Remote Location
🇺🇸 USA Only
Job Type full-time
Posted 3d ago

[Hiring] Senior Data AI Engineer @IntelliTech

3d ago - IntelliTech is hiring a remote Senior Data AI Engineer. 💸 Salary: unspecified 📍Location: USA

Role Description

IntelliTech is seeking a Senior Data / AI Engineer to support a Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. The platform is a supply chain simulation solution built on Python, FastAPI, and React that enables analysts to model production timelines, identify bottlenecks, assess supply chain risk, and evaluate surge and modernization scenarios. This role will own the data lifecycle end-to-end—from raw file ingestion through validation, normalization, versioning, and delivery of run-ready artifacts to the simulation engine. The engineer will also help design and implement the AI-enabled decision-support layer, supporting natural-language analysis of scenario outputs, automated comparison and briefing generation, and guided scenario creation.

This is a hands-on role on a lean, senior team. The ideal candidate is comfortable writing production code daily, designing scalable data pipelines, and working directly with Government analysts and data stakeholders to deliver mission-focused solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience.
  • 7+ years of professional experience in data engineering or data / AI engineering roles.
  • Strong hands-on Python development experience, including Pandas, NumPy, ETL/ELT design, data pipeline development, and asynchronous programming patterns.
  • Experience building data validation and quality frameworks, including schema enforcement, referential integrity, data contracts, and validation feedback mechanisms.
  • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool use, scoped retrieval, and prompt engineering for structured outputs.
  • Experience with MongoDB or other document-oriented databases, including data modeling and aggregation pipelines for analytics workloads.
  • Experience with Amazon S3 or other cloud object storage services, including raw, normalized, and curated data layering approaches.
  • Experience supporting DoD or federal Government programs.
  • Strong communication skills and the ability to work directly with technical and non-technical stakeholders in mission environments.

Requirements

  • Design and implement governed ingestion pipelines for complex defense supply chain datasets.
  • Build validation services that enforce schema conformance, referential integrity, and business-rule validation.
  • Implement raw data preservation in object storage such as Amazon S3.
  • Develop canonical data transformation workflows that convert validated source inputs into normalized artifacts.
  • Implement dataset versioning and lineage tracking.
  • Work with Government stakeholders to identify and implement automated data refresh paths.
  • Participate in Technical Exchange Meetings (TEMs) to help define data contracts.
  • Implement approved connection patterns such as scheduled file landing and API-based retrieval.
  • Build the AI integration layer within the FastAPI backend.
  • Implement scoped retrieval logic for AI context.
  • Develop natural-language Q&A capabilities for analysts.
  • Build guided scenario generation workflows.
  • Implement AI-assisted comparison summaries and brief-ready output generation.
  • Ensure all AI interactions are audit-logged and role-scoped.
  • Extend existing comparison capabilities to generate structured side-by-side scenario outputs.
  • Implement data quality monitoring and dashboards.
  • Optimize data preparation and post-processing workflows.
  • Design and implement version-bounded caching strategies.

Benefits

  • Comprehensive benefits package including health, dental, and vision insurance.
  • 401(k) plan.
  • Paid time off.
  • Professional development opportunities.
  • Flexible work arrangements to support work-life balance.

Company Description

IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions.

Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Back to Remote jobs  >   AI / ML
Senior Data AI Engineer @IntelliTech
AI / ML
Salary unspecified
Remote Location
🇺🇸 USA Only
Job Type full-time
Posted 3d ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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