Senior AI Platform Architect – Enterprise Data & Vector AI

Boeing Intelligence & Analytics; Washington (District of Columbia); Hybrid; USD 242,000 - 305,000; Full time

Job summary

Boeing Intelligence & Analytics seeks a Senior AI/ML Data Engineer to design enterprise-scale data platforms enabling vector search, RAG, and LLM applications. You will collaborate with infrastructure, cybersecurity, software engineering, and mission stakeholders to deliver scalable, secure AI capabilities.

The role requires deep cloud, distributed systems, and data governance expertise, with leadership responsibilities and clear communication to senior leadership.

Qualifications

• Expert proficiency in Python, SQL, and modern software engineering practices.
• Experience with vector databases, embedding pipelines, retrieval systems, and Retrieval-Augmented Generation architectures.
• Experience with CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling.

Responsibilities

• Architect and maintain enterprise-scale data platforms supporting vector databases, semantic search, and RAG.
• Establish data quality, lineage, prompt traceability, and explainability.
• Provide technical leadership and mentorship to engineers across AI data infrastructure.
• Translate AI requirements into production-grade capabilities in collaboration with cross-functional teams.
• Communicate operational impacts and risks to senior leadership.

Skills

Python

SQL

Cloud platforms

Distributed systems

MLOps

CI/CD

Observability

Vector databases

RAG

LLM apps

Education

Bachelor's degree in a related field

Tools

Azure

AWS

Google Cloud

Job description

Boeing Intelligence & Analytics seeks a Senior AI/ML Data Engineer to design enterprise-scale data platforms enabling vector search, RAG, and LLM applications. You will collaborate with infrastructure, cybersecurity, software engineering, and mission stakeholders to deliver scalable, secure AI capabilities.

The role requires deep cloud, distributed systems, and data governance expertise, with leadership responsibilities and clear communication to senior leadership.