Enterprise AI Architect — Onsite Private LLM & RAG

SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. (SARA); Colorado Springs (CO); Vor Ort; USD 145.000 - 180.000; Vollzeit

Benefits dieser Stelle

Medical, dental, vision, disability, &

401(k) match

ESOP

Zusammenfassung

Scientific Applications & Research Associates, Inc. (SARA) in Colorado Springs seeks an AI Architect to shape enterprise AI strategy and lead secure onsite LLM deployments.

You’ll work with IT, cybersecurity, data owners and engineering to deliver AI-enabled workflows that improve decision-making and efficiency. The role combines hands-on architectural work with technical leadership, focusing on secure deployments, data integration, and production-ready AI workflows.

Qualifikationen

• Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
• 10+ years in AI, software engineering, data science, or enterprise systems.
• 5+ years leading complex technical initiatives.

Aufgaben

• Advance enterprise AI strategy and architectural standards.
• Lead AI initiatives from discovery to deployment.
• Identify, prioritize, and deliver high-value AI use cases.
• Architect, implement, and maintain secure onsite/private LLM deployments.
• Evaluate tools, models, and architectures for capability, security, and cost.
• Design Retrieval-Augmented Generation pipelines and data integrations.
• Develop secure integrations with enterprise apps and APIs.

Kenntnisse

LLM deployment

RAG

Python

LangChain

LlamaIndex

MCP

Authentication

Security

Monitoring

GPU infrastructure

Data governance

Communication

DoD clearance

Ausbildung

Bachelor’s degree in Computer Science, Data Science, Engineering

Master’s degree or higher (preferred)

Tools

Open WebUI

LangChain

LlamaIndex

Jobbeschreibung

Scientific Applications & Research Associates, Inc. (SARA) in Colorado Springs seeks an AI Architect to shape enterprise AI strategy and lead secure onsite LLM deployments.

You’ll work with IT, cybersecurity, data owners and engineering to deliver AI-enabled workflows that improve decision-making and efficiency. The role combines hands-on architectural work with technical leadership, focusing on secure deployments, data integration, and production-ready AI workflows.