Senior AI Platform Architect for Enterprise LLMs

The MIL Corporation; Reston (VA); On-site; USD 190,000 - 245,000; Full time

Job summary

The MIL Corporation in Reston, VA seeks a Principal AI/ML Data Scientist to lead the design and implementation of enterprise-scale data platforms supporting Vector search, RAG, and Agentic AI. This senior associate role requires communication with senior leaders and cross-functional teams to drive secure, scalable AI solutions onsite in Reston.

Ideal candidate has deep experience architecting AI-driven data ecosystems and leading engineering excellence, with a strong background in cloud

Qualifications

• 20+ years of progressive experience in software engineering, data engineering, distributed systems, cloud architecture, or AI/ML platform development.
• Proven experience designing and delivering enterprise-scale AI, machine learning, generative AI, or Agentic AI solutions.

Responsibilities

• Architect enterprise AI platforms for vector databases, semantic search, RAG, Agentic AI, and LLM apps.
• Lead data governance, quality, lineage, attribution, and explainability for AI systems.
• Provide technical leadership across infrastructure, cybersecurity, software engineering, and mission stakeholders.
• Translate AI concepts into operational impacts and risk assessments for leadership.
• Coordinate with multiple organizations to align AI initiatives and avoid duplication.
• Implement monitoring, observability, and reliability for AI platforms.

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related quantitative discipline

Tools

Python

SQL

Azure

AWS

GCP

CI/CD

Kubernetes

Job description

The MIL Corporation in Reston, VA seeks a Principal AI/ML Data Scientist to lead the design and implementation of enterprise-scale data platforms supporting Vector search, RAG, and Agentic AI. This senior associate role requires communication with senior leaders and cross-functional teams to drive secure, scalable AI solutions onsite in Reston.

Ideal candidate has deep experience architecting AI-driven data ecosystems and leading engineering excellence, with a strong background in cloud