Lead Platform Engineer responsible for technical leadership and operational ownership of major data platform domains within D.R. Horton’s Data & AI Foundation.
Responsibilities
Lead engineering and operational ownership for major data platform domains, establishing technical standards for security, reliability, automation, workload management, observability, resilience, recovery, capacity, and cost governance
Lead design and implementation of reusable platform services and automation using Python and/or other modern languages, APIs, infrastructure-as-code, CI/CD, Git-based workflows, testing, and configuration management
Define and drive SRE/DataOps practices including SLIs, SLOs, service tiers, incident response, root-cause analysis, postmortems, automated remediation, availability, and recovery objectives
Lead technical design for platform capabilities supporting analytics, machine learning, generative AI, semantic search, RAG, agents, model endpoints, vector services, model gateways, and intelligent applications
Establish operational patterns for AI/ML services including deployment, inference, secrets, workload isolation, quotas, evaluation, monitoring, versioning, rollback, and lifecycle management
Lead end-to-end AI system design and architecture for a major Generative AI platform, ensuring secure, resilient, compliant, and enterprise-aligned solutions.
Compensation
Salary Range: $90,000 - $157,500 Annual
Responsibilities
Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
We are seeking an AI System Design Architect (AVP) with strong expertise in Generative AI, Machine Learning, enterprise architecture, cloud platforms, and scalable solution design.
Compensation
$90,000 - $157,500 Annual
Responsibilities
Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
The AWS China Mainland and Hong Kong (CMHK) Marketing team is looking for a Developer Marketing Manager who is equal parts content creator and community connector.
Locations (3)
Shanghai, China
Beijing, China
Shenzhen, China
Responsibilities
Create and publish high-quality developer-facing content across social platforms: vlogs, technical blogs, demo videos, short-form videos, and social posts
Bring creative, thumb-stopping ideas to content and program design
Build and maintain relationships with 3P developer communities
Collaborate with product marketing, field marketing, tech teams, PR, and business teams to align content and community efforts
Support the planning and execution of developer programs such as hackathons, workshops, competitions
Lead the end-to-end planning, execution, and amplification of developer marketing programs to drive awareness and adoption of AWS services across developer and builder audiences in Greater China.
Locations (3)
Shanghai, Shanghai, People's Republic of China
Beijing, Beijing, People's Republic of China
Shenzhen, Shenzhen, People's Republic of China
Responsibilities
Define the developer marketing strategy for Greater China and drive end-to-end delivery of programs: scoping, planning, cross-functional coordination, execution, promotion, and post-program analysis.
Set the bar for technical depth - design hackathon problem statements, set up hands-on lab environments, and build sample applications on AWS services to demonstrate real-world use cases.
Coordinate across product marketing, field marketing, tech teams, PR, and business teams to ensure programs ladder up to broader GTM goals.
Build and maintain engagement with 3P developer communities - open-source organizations, tech media with community reach, and influencer-led developer groups.
Savvy in producing developer-facing content across formats: technical blogs, vlogs, demo videos, and social posts.
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