Sr. Lead Solution Architect

Cox Enterprises•Atlanta, GA
•$148,500 - $247,500•Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • Flexible vacation with pay
  • Seven paid holidays
  • Up to 160 hours of paid wellness annually
  • Bereavement leave
  • Time off to vote
  • Jury duty leave
  • Volunteer time off
  • Military leave
  • Parental leave
  • Health care insurance (medical, dental, vision)
  • Retirement planning (401(k))
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