Top Engineering Jobs

Provides technical leadership for Cox Automotive platforms, driving solution architecture, modernization, AWS adoption, API delivery, and generative AI initiatives. Responsibilities include shaping architectural roadmaps, aligning engineering and product stakeholders, developing reusable patterns, evaluating AI technologies, leading proofs of concept, documenting decisions, and mentoring engineering teams. The role requires extensive application, integration, platform, cloud, API, distributed systems, and DevOps expertise, along with the ability to influence technical direction across teams.

Provides technical leadership across Cox Automotive products by defining architectural vision, designing scalable solutions, modernizing platforms, reducing technical debt, and guiding multiple delivery teams. The role focuses on AWS-native architecture, API delivery, distributed systems, databases, DevOps, and generative AI initiatives. Responsibilities include creating architectural roadmaps and diagrams, evaluating emerging technologies, aligning stakeholders, sequencing investments, and establishing reusable platform and API standards.

Provides technical leadership for Cox Automotive platforms, driving solution architecture, modernization, AWS adoption, API delivery, and generative AI initiatives. The role aligns engineering, product, and business stakeholders; develops architectural roadmaps and standards; leads proofs of concept; evaluates AI technologies for governance and security; and mentors teams on reusable architecture patterns, DevOps, distributed systems, and production application delivery.

Provides technical leadership for Cox Automotive platforms by defining architectural direction, designing scalable applications and APIs, modernizing legacy integrations, promoting AWS-native and shared platform capabilities, and guiding generative AI adoption. Partners with engineering, product, and agile teams to prioritize investments, reduce technical debt, evaluate technologies, and maintain architectural roadmaps, decision records, diagrams, and integration models.

Provides technical leadership for Cox Automotive products by defining architectural vision, guiding solution design, reducing technical debt, and modernizing platforms. Partners with engineering, product, and agile teams to prioritize architecture investments, establish AWS-native and API standards, and promote shared platforms. Leads generative AI exploration and adoption, evaluates emerging technologies, develops proof-of-concepts, and maintains roadmaps, decision records, diagrams, and integration models. Requires extensive application architecture, API, cloud, database, software development, DevOps, and AI experience.

Provides technical leadership for Cox Automotive products by driving solution architecture, platform modernization, cloud adoption, and generative AI initiatives. The role aligns engineering, product, and business stakeholders; develops scalable APIs and distributed systems; creates architectural roadmaps and decision records; leads proofs of concept; establishes reusable patterns; and mentors teams on AI-enabled development, DevOps, governance, security, and enterprise standards.

Provides technical leadership across Cox Automotive platforms, defining architectural vision, driving solution design, modernizing legacy integrations, and aligning engineering, product, and business teams. The role develops scalable APIs and cloud solutions, champions AWS-native and generative AI capabilities, reduces technical debt, evaluates emerging technologies, and establishes architecture roadmaps, standards, and reusable platform capabilities.

Provides technical leadership for Cox Automotive products by defining architectural vision, designing scalable solutions, modernizing platforms, reducing technical debt, and guiding multiple delivery teams. The role partners with engineering, product, and agile leaders; develops APIs and cloud solutions; promotes AWS-native, shared-platform, DevOps, and AI practices; evaluates emerging generative AI technologies; and maintains architectural roadmaps, decision records, diagrams, and integration models.

Owns architecture and technical direction for enterprise AI platforms, AWS Quick integrations, and an internal AI Artifact Hub. Leads development of connectors, agents, knowledge retrieval, MCP servers, data pipelines, quality systems, observability, and resilient distributed workflows. Guides Python engineering, architecture reviews, incident response, and cross-functional alignment with security, cloud, enterprise architecture, and AWS teams. Establishes standards for AI evaluation, governance, reliability, and verification-first development.

Build and operate secure AI platform infrastructure on AWS, including connector governance, authentication, integrations, ingestion pipelines, agents, access controls, DLP, observability, cost controls, evaluation frameworks, and feedback APIs. Mentor engineers, guide architecture, collaborate with domain teams and AWS, and support production systems through on-call participation.