Senior AI/ML Data Platform Architect for Enterprise

redarchsolutions; Reston (VA); On-site; USD 255,000 - 325,000; Full time

Benefits offered by this job

100% paid employee healthcare

Annual training allocation

Generous PTO

401K with 6% match

Annual bonus

Tuition reimbursement

Job summary

Red Arch Solutions seeks a senior AI/ML Data Engineer to design and implement enterprise-scale data platforms supporting agentic AI transformations. You will lead architecture for vector search, RAG, and LLM workflows, partnering with cybersecurity, software, and mission stakeholders.

The role requires communicating complex AI concepts to leaders, ensuring security, reliability, and scalable performance while mentoring engineers and driving engineering excellence.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• 20+ years in software/data engineering or AI platform development.
• Experience designing enterprise-scale AI and data pipelines.

Responsibilities

• Architect enterprise-scale data platforms for vector search, RAG, and LLM apps.
• Lead data governance, quality controls, and traceability across AI workloads.
• Collaborate with security and engineering teams to ensure secure platforms.
• Translate technical concepts for executive leadership and stakeholders.
• Mentor engineers and drive engineering best practices across teams.

Skills

Python

SQL

Cloud platforms (Azure/AWS/GCP)

Distributed systems

MLOps

CI/CD

Observability tooling

Vector databases

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or related field

Tools

CI/CD pipelines

Orchestration platforms

Observability tooling

Vector databases

Job description

Red Arch Solutions seeks a senior AI/ML Data Engineer to design and implement enterprise-scale data platforms supporting agentic AI transformations. You will lead architecture for vector search, RAG, and LLM workflows, partnering with cybersecurity, software, and mission stakeholders.

The role requires communicating complex AI concepts to leaders, ensuring security, reliability, and scalable performance while mentoring engineers and driving engineering excellence.