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# Lead Solution Architect

- **Company:** Cox Automotive
- **Location:** Marietta, GA, United States
- **Experience:** Expert
- **Salary:** $148,500.0 - $247,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Distributed Systems, Software Engineering, Large Language Models, Multi-Agent Systems, Model Validation, Information Technology, Virtual Agents, Restful APIs, Data Pipelines, Legacy Systems, Microservices
- **Published:** October 7, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3010141794-2

## About the Role

* Bachelor's in Computer Science, Engineering, or related; or equivalent experience.

 * 10+ years of software development at mid-to-large companies, or an advanced degree with relevant experience.

 * 5+ years of solution/technical architecture experience.

 * Hands-on experience with AI technologies and concepts (LLMs, autonomous agents, vector databases, model selection, agent-based architecture, data pipeline, AI-assisted PDLC, etc.)

 * 3+ years AWS cloud architecture experience.

 * Applied enterprise patterns to distributed systems (RESTful APIs, microservices, events, micro-frontends, etc.).

 * Strong teamwork and communication skills.
 * Effective collaboration skills with stakeholders.

Preferred Qualifications

 * Proven track record of modernizing legacy systems

 * Skilled in technical writing and blog posts.

 * Able to present at conferences and represent Cox Automotive externally.

 * Technology mentoring and conflict management abilities.

 * Automotive industry background or interest.

## Description

The Cox Automotive architecture team seeks a Sr. Lead Solution Architect to lead technology efforts supporting the Manheim Marketplace domain. This senior role will drive solutioning, tech modernization, and AI initiatives across auction marketplace services., * Design solutions aligned with business needs in partnership with product and engineering teams.

 * Facilitate design reviews and collaborative architecture discussions.

 * Guide feature planning and serve as technical expert.

 * Help develop architecture standards and enforce best practices.

 * Oversee software development for non-functional requirements and compliance.

 * Advocate for technology investments and prioritize architectural work.

 * Integrate AI capabilities into systems, ensuring alignment with business objectives.

 * Identify and translate high-impact AI use cases into scalable solutions.

 * Assess emerging AI technologies and coordinate with governance for ethical and regulatory adherence.

 * Promote reusable patterns and frameworks to accelerate AI adoption.

 * Bridge communication between business stakeholders and technical teams for practical AI solutions.

 * Develop strategies for AI agent interaction, autonomous workflows, and orchestration.

 * Mentor engineering teams in AI technologies.

 * Lead proofs-of-concept and reference implementations.

 * Contribute to internal documentation and training.