Principal AI Platform Architect – Cloud & Integrations

Cox

Atlanta (GA)

Hybrid

USD 163,000 - 272,000

Full time

8 days ago

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Job summary

Cox Automotive is seeking a Principal Software Engineer to own technical direction for the AWS Quick platform, its connectors, agents, and data pipelines. You will shape architecture across two products and drive reliability, governance, and scalable design while partnering with AWS teams.

This hands-on leadership role emphasizes architecture decisions and code contributions. The role requires strong Python, cloud-native development on AWS, and experience with AI-enabled systems, retrieval, and

Qualifications

Bachelor's degree in Computer Science and 10 years' experience in a related field.
10+ years of experience across the software development life cycle, architecture, and platform delivery.
Strong experience designing and delivering cloud-native platforms on AWS, including compute, storage, networking, IAM, observability, and infrastructure automation.
Experience designing, building, or operating AI/ML-powered systems, with exposure to emerging patterns such as RAG, knowledge retrieval, or agent-based architectures.
Strong software engineering fundamentals and working proficiency in Python, able to design, review, debug, and contribute to Python-based connectors, pipelines, and tooling.
Experience defining evaluation and quality approaches for software, including regression testing, measurable acceptance criteria, HITL review, or other methods suited to non-deterministic systems.
A track record of enterprise integration work across SaaS, data platforms, and operational systems, including API design, authentication, data quality, and reliability concerns.
Demonstrated ownership of a platform or system architecture used by multiple engineering teams.
Experience setting technical direction and influencing decisions across team boundaries without relying on formal authority.
Applicants must be authorized to work in the United States for any employer without current or future sponsorship.
Ability to work in the office three days per week.
Willingness to participate in an on-call rotation and lead incident response for production platform systems.

Responsibilities

Own the end-to-end architecture for the AWS Quick customization layer, including connectors, agent orchestration, knowledge ingestion, service boundaries, and infrastructure as code.
Define the Model Context Protocol (MCP) strategy for enterprise integrations: tool contracts, governance, authentication, authorization, and safety boundaries.
Own the technical direction of the AI Artifact Hub, assess current state, define a hardening plan, and improve reliability as adoption grows.
Make and document major architecture decisions, including trade-offs behind them, building for near-term delivery while enabling future stages.
Work with Enterprise Architecture, Security, Cloud Automation, and AWS technical teams to align platform direction and resolve cross-team issues.