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Provides technical leadership for Cox Automotive platforms through solution architecture, modernization, API development, AWS cloud adoption, and generative AI initiatives. Designs target architectures, roadmaps, integration models, and reusable patterns; aligns engineering, product, and business stakeholders; evaluates emerging technologies; leads proofs of concept; and mentors teams on AI and architecture practices. The role also advances platform governance, distributed systems, DevOps, security, and enterprise standards.

Provides technical leadership for Cox Automotive products by defining architectural vision, guiding solution design, reducing technical debt, and aligning engineering, product, and business teams. Leads platform modernization, AWS adoption, API architecture, generative AI initiatives, and architectural governance. Develops proofs of concept, evaluates emerging technologies, maintains roadmaps and design artifacts, and drives adoption of shared platforms, distributed systems, and reusable capabilities across delivery teams.

Build and maintain Python-based enterprise AI connectors, APIs, data pipelines, and platform tooling. Develop and deploy scalable AWS systems, integrate third-party services, enforce access controls, and contribute to AI agent evaluation and data safety. Maintain Terraform infrastructure and GitHub Actions CI/CD pipelines, implement monitoring and documentation, support MCP integrations, and participate in an on-call rotation while collaborating with senior engineers.

Owns technical direction and end-to-end architecture for AWS-based enterprise AI platforms, including agents, connectors, MCP integrations, knowledge retrieval, RAG, data pipelines, and AI quality systems. Leads architecture reviews, Python implementation, reliability standards, incident response, and cross-functional alignment with security, enterprise architecture, and AWS teams. Establishes evaluation, governance, observability, and resilient distributed-system practices while influencing engineering direction across organizational boundaries.

Build and operate enterprise AI platform infrastructure, connector integrations, authentication, knowledge ingestion pipelines, agents, access controls, DLP protections, evaluation frameworks, feedback APIs, and observability systems. Lead connector governance, improve the AI Artifact Hub, ensure reliability and security, collaborate with AWS and domain teams, participate in architecture and code reviews, and mentor engineers. The role requires end-to-end ownership of production systems and participation in on-call support.

Design, develop, test, deploy, and support cloud-native applications using .NET/C# and JavaScript/TypeScript. Own features end-to-end, troubleshoot production issues, improve CI/CD and AWS infrastructure, integrate AI capabilities, mentor junior engineers, and participate in Agile ceremonies and documentation.

Own discovery, specs, and delivery for inventory-related product areas within Cox Automotive's CVI platform. Conduct customer interviews, analyze usage data, write Spec-Driven Development specs, manage backlog in Rally, collaborate with engineering/UX/architecture, and drive go-to-market and adoption activities. Focus on stakeholder engagement, data-driven decisions, and growing toward broader product ownership.

Lead enterprise product operations to raise product management maturity, embed AI-first practices, and drive adoption of standards. Develop playbooks, training, and AI-integrated workflows (LLMs, Claude, Pendo AI), coordinate cross-functional partners, and manage change to improve discovery, specification, delivery, and post-launch measurement.

Lead Site Reliability Engineer implements IaC and automation, builds observability (SLIs/SLOs, dashboards, alerting), manages incident response, runbooks, gamedays, postmortems, and drives SRE/DevOps best practices, AppSec integration, testing, and CI/CD improvements across teams.

Lead data architecture, reporting platform, and product catalog for the Xtime portfolio. Define data strategy, standards, reference architectures, and governance. Translate business requirements into data models, integrations, ETL, and reporting solutions. Design cloud architectures, evaluate technologies, create proofs of concept, and collaborate with product, engineering, and stakeholders to deliver scalable, secure reporting and catalog capabilities.