추천 검색

Senior AI Solution Architect
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 to impact the roadmap of AWS GenAI/ML and Agentic features • Link technology to tangible solutions by defining 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 design/implementation of production AI systems • 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 • Ability 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
• Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes • Ability to lead a team or small organization-wide initiative with business objectives that are partially defined • 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
이런 공고는 어때요?

몬드리안에이아이
2년~20년 · 정규직 · 인천

펄크럼테크놀로지스
3년~20년 · 정규직 · 서울

메크랩
3년~10년 · 정규직 · 서울

모다플
3년~10년 · 정규직 · 서울

일레븐
3년~10년 · 정규직 · 경기

페이스웹
20년 이하 · 정규직 · 서울

폴라펄스
10년 이하 · 계약직 · 서울

포밸류소프트
7년~20년 · 정규직 · 경기

크픽
5년 이하 · 전환형인턴 · 서울

앰플랩
3년~20년 · 정규직 · 대전

인포시즈
3년~10년 · 정규직 · 서울

스텝에이아이
20년 이하 · 정규직 · 서울

텔어스
20년 이하 · 정규직 · 서울

수집(SOOJIB)
20년 이하 · 정규직 · 서울

휴멜로
3년~8년 · 정규직 · 서울

텔어스
20년 이하 · 체험형인턴 · 서울

vox.ai
1년~9년 · 정규직 · 서울

솔로몬랩스
3년~20년 · 정규직 · 서울

엘리스그룹
6년 이하 · 정규직 · 서울

콩콩프렌즈
20년 이하 · 정규직 · 경기




