Hiring: Senior Platform Architect - Enterprise AI Agent Company: ByteDance Location: New York, United States Job Posted Time: 2026-09-16 04:28:27 Target Skills & Keywords : Compliance, Express, Firmware, Go, LLM, Linux, Make, Python, RAG, TestNG About the job Experience: •5+ years software development experience preferably with Golang or Python. Required Skills: •This role requires deep technical architecture expertise, strong hands-on understanding of AI platforms, and product management capabilities to identify business needs, shape platform capabilities, and drive enterprise-wide adoption. •Define the technical architecture and roadmap for enterprise AI agent platforms, including AI harness, agent orchestration, tool integration, workflow automation, memory, evaluation, observability, and governance capabilities. •Partner with product, engineering, data, security, and business teams to identify high-value AI use cases and guide them from concept to production. •Establish architecture principles, design patterns, best practices, and governance standards for enterprise AI agent and RAG-based application development. •Provide technical leadership on AI reliability, scalability, observability, cost optimization, privacy, security, compliance, and responsible AI practices. •Apply product management thinking to define platform vision, user journeys, feature priorities, adoption metrics, rollout plans, and feedback loops. •Influence stakeholders across business and technology teams to align AI platform capabilities with enterprise strategy. •Mentor engineers and platform teams through architecture reviews, technical deep dives, prototypes, and implementation guidance. Qualifications: •BS degree in Computer Science, similar technical field of study or equivalent practical experience. •Experience working with two or more of the following: web application development, Unix/Linux environments, distributed and parallel systems, networking systems, developing large software systems. •5+ years software development experience preferably with Golang or Python. •Experience driving enterprise AI adoption across multiple business units or internal product teams. •Prior experience combining architect-level technical ownership with product management responsibilities. •In-depth knowledge of AI system tradeoffs, including cost, latency, accuracy, reliability, safety, and user experience. •Experience building or architecting enterprise AI agent platforms, AI harness platforms, RAG-based knowledge bases, model gateways, evaluation platforms, or internal AI developer platforms. •Deep familiarity with modern LLM ecosystems, including agent frameworks, vector databases, embedding models, reranking models, model routing, evaluation tooling, and AI governance. •Practical experience utilizing enterprise knowledge management systems, document intelligence, semantic search, taxonomy design, or knowledge quality evaluation. •Practical experience utilizing security, compliance, data privacy, access control, auditability, and responsible AI practices in enterprise AI systems. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!