## About the Company
Red Arch Solutions is a highly collaborative technology organization focused on solving complex national security challenges. The company emphasizes a people-first culture, work-life balance, individualized professional growth, technical excellence, and collaboration across engineering and mission-focused teams.
Red Arch Solutions provides a 100% company-paid healthcare model, annual training opportunities, and a strong technical community supporting advanced technology initiatives.
## About the Role
Red Arch Solutions is seeking a **Principal AI/ML Data Scientist** to lead the design and implementation of enterprise-scale data platforms supporting a large-scale **Agentic AI transformation initiative**.
This senior technical role focuses on architecting the data ecosystem behind **vector search, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), generative AI, and Agentic AI platforms**. The role works across infrastructure, cybersecurity, software engineering, data science, and mission stakeholders to deliver scalable, secure, reliable, and production-ready AI capabilities.
The successful candidate will also advise senior leadership by translating complex AI, machine learning, and data architecture concepts into clear operational, mission, security, business, and implementation considerations.
## Key Responsibilities
* Architect, build, and maintain enterprise-scale data platforms supporting:
* Vector databases
* Semantic search
* Retrieval-Augmented Generation (RAG)
* Agentic AI systems
* Large Language Model (LLM) applications
* Establish data governance and controls covering data quality, lineage, source attribution, prompt and context traceability, explainability, and AI output evaluation
* Lead architectural decisions for AI-supporting data infrastructure while balancing performance, scalability, security, reliability, maintainability, and cost
* Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities
* Communicate complex AI, machine learning, and data architecture concepts to senior leadership
* Explain operational impacts, risks, opportunities, and implementation considerations associated with emerging AI technologies
* Coordinate AI initiatives across multiple organizations to maximize reuse of enterprise capabilities and reduce duplication
* Implement monitoring, observability, and alerting for AI-supporting data platforms
* Drive reliability, performance, and continuous improvement across enterprise AI data infrastructure
* Provide technical leadership and mentorship to engineers
* Promote engineering best practices, innovation, and technical excellence
* Evaluate emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches
## Required Qualifications
### Security Clearance
* **Active, current Top Secret / SCI with Polygraph is mandatory**
### Education
* Bachelor’s degree in **Computer Science, Engineering, Mathematics, Data Science, or a related quantitative discipline**
* Equivalent experience may be considered
### Professional Experience
* **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**
* Demonstrated success architecting and implementing production **cloud-native data systems** supporting advanced analytics and AI workloads
* Experience working in complex enterprise environments involving security, infrastructure, technology dependencies, governance requirements, and competing priorities
* Extensive experience designing data pipelines supporting:
* Machine learning models
* Vector databases
* Semantic search
* Generative AI applications
* Proven ability to deliver complex technical solutions from strategic requirements through operational deployment while balancing schedule, performance, capability, and cost objectives
## Technical Expertise
* Expert proficiency in **Python and SQL**
* Strong modern software engineering practices
* Deep experience with **Azure, AWS, or Google Cloud** data and AI platforms
* Strong understanding of:
* Distributed systems
* Cloud-native architectures
* MLOps
* AI platform engineering
* Experience implementing:
* Vector databases
* Embedding pipelines
* Retrieval systems
* Retrieval-Augmented Generation (RAG) architectures
* Experience with **CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling**
## Communication & Leadership
* Exceptional written and verbal communication skills
* Ability to communicate complex technical concepts to both technical and non-technical audiences
* Ability to explain AI, machine learning, and data architecture in terms of:
* Mission impact
* Operational outcomes
* Technical risks
* Implementation tradeoffs
* Proven ability to influence decisions and build consensus among diverse technical and business stakeholders
## Preferred Qualifications
* Experience as a **Principal Engineer, Lead Data Engineer, Solution Architect, or Technical Lead**
* Experience building and operating enterprise-scale:
* Vector search platforms
* RAG systems
* Knowledge management platforms
* LLM-based platforms
* Hands-on experience with large-scale distributed data processing frameworks
* Experience leading engineering teams and mentoring junior and mid-level engineers
* Experience supporting AI adoption within large government, defense, intelligence, or highly regulated organizations
* Familiarity with **AI governance and model evaluation frameworks**
## What Red Arch Solutions Offers
* 100% company-paid healthcare
* Annual training opportunities
* Individualized professional growth
* Collaborative and technically focused environment
* Opportunity to work on advanced AI and technology initiatives supporting national security challenges