Senior AI Solution Architect
공고 요약
담당업무
고객과 기술 관계 구축 및 GenAI·ML·Agentic 기술 도입 지원
AWS와 고객 간 전반적인 기술 관계 관리
보안, 비용, 성능, 신뢰성, 운영 효율성 관련 기술 권고
GenAI·ML·Agentic 프로젝트를 위한 클라우드 네이티브 아키텍처 패턴 정의
AWS GenAI·ML·Agentic 기능 관련 고객 요구사항 공유 및 로드맵 영향
기술 콘텐츠, 모범 사례, 레퍼런스 아키텍처 작성 및 공유
AWS 기반 GenAI·ML·Agentic 워크로드 운영에 대한 워크숍·밋업·발표·교육
기술 딥다이브와 기술 워크숍 진행, 재사용 가능한 코드와 레퍼런스 아키텍처 제작
자격요건
AI 시스템을 다루거나 평가한 경험
대규모 시스템에서 LLM·멀티모달 FM 통합 경험
LLM 파인튜닝, 배포, 분산 추론 경험
RAG, FM 평가, Vector DB, Agentic 워크플로 경험
프롬프트·컨텍스트 엔지니어링 및 MLOps 경험
AWS Bedrock, AgentCore, SageMaker를 활용한 보안·프라이빗 네트워크 AI 환경 구축 경험
embeddings, vector stores, semantic search optimization 기반 RAG 구현 경험
다양한 내부·외부 이해관계자와의 효과적인 커뮤니케이션 능력
고객 및 내부 의사결정자에게 기술적 영향력을 행사하는 능력
접수방법
기업 사이트에서 지원
마감기한
상시채용
아마존 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.
주요업무
• Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud while adopting GenAI/ML and Agentic technologies • Manage the overall technical relationship between AWS and customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate GenAI/ML and Agentic projects • Serve as the voice of the customer internally, sharing their needs regarding usage of services and impacting the roadmap of AWS GenAI/ML and Agentic features • Link technology to tangible solutions and define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases • Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) • Evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences) • Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization
자격요건
• 5+ years of working with or evaluating AI systems experience • Experience implementing AI solutions including integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps • Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments • Practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization • Able to effectively communicate across an increasing diversity of audiences internally and externally • Ability to influence customer and internal business decision makers as a technical thought leader
우대사항
• Experience managing teams who deliver on defined goals and timelines • Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes • Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD • Experience in running & fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA, Instruction Tuning, and RLHF to optimize for specific domain tasks • Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g., Financial Services, Healthcare, Public Sector)
혜택 및 복지
자세한 사항은 홈페이지 참고
