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Data Engineer

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Onsite

Data Engineer

IFG - International Financial Group

Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonData ScienceCybersecurityMachine LearningAIAWSAzure

15 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

7 October 2026

What they need


Job Title: AI/ML Data Engineer (GenAI & Vector Platforms)

Location: United States (Remote / Hybrid depending on mission site)

Clearance: Active Top Secret / SCI with Polygraph (Mandatory)

About the Role

We are seeking an AI/ML Data Engineering Leader to architect, build, and operate enterprise-scale AI data platforms powering vector databases, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows.

In this role, you will establish the core technical and governance foundations for production-grade AI—ensuring data lineage, prompt/context traceability, explainability, and evaluation across mission-critical environments.

Key Responsibilities

  • Platform Architecture: Architect and evolve cloud-native, distributed AI data platforms optimized for scale, performance, security, and cost.
  • Governance & Traceability: Implement controls for data quality, lineage, source attribution, prompt + context auditability, and AI output explainability.
  • Cross-Functional Leadership: Partner with Data Science, ML Engineering, Cybersecurity, and Enterprise Architecture teams to translate complex AI requirements into production capabilities.
  • Engineering Standards: Lead architectural design reviews, elevate CI/CD and MLOps practices, and mentor senior engineering talent.
  • Technology Evaluation: Continuously evaluate and integrate emerging AI tech stacks (vector DBs, retrieval frameworks, evaluation toolkits).

Qualifications & Experience

  • Clearance: Active TS/SCI with Polygraph (Strictly required).
  • Residency: Must currently reside in the United States.
  • Experience: 20+ years of deep experience in software engineering, data engineering, distributed systems, or cloud/AI platform development.
  • Track Record: Proven delivery of enterprise-scale AI/ML, GenAI, or agentic systems in complex, high-security, or regulated environments.
  • Tech Stack: Expert proficiency in Python, SQL, Cloud Platforms (AWS/Azure/GCP), Vector DBs, RAG, embeddings, CI/CD, IaC, and observability.
  • Leadership: Strong ability to influence senior stakeholders and communicate technical trade-offs to business and mission leadership.

📥 Interested or know someone who fits? Send a direct message or drop your email ([email protected]) below for a confidential conversation!

#DataEngineering #GenAI #MachineLearning #TS SCI #Polygraph #VectorDatabase #RAG #MLOps #CloudArchitecture #Jobs

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