종로, 11에서 최고의 workplace specialist 채용공고 5개(지금 채용 중!)

AI Solution Architect
Amazon Web Services Korea LLC —서울
- 정규직
8일
Cloud Architect, Professional Services
Amazon Web Services Korea LLC —서울
- 정규직
Maintenance Engineer(contract)
Coca-Cola —서울
- 정규직
6일
AI Sales Graduate (BytePlus) - 2027 Start
ByteDance —서울
9일
Engineering Manager 과차장급 (시청역 근무)
JLL —서울
8일

More jobs to discover

Find similar jobs that you might be interested in.

Cloud Architect, Professional Services
Amazon Web Services Korea LLC —서울
You will be required to travel to client locations and deliver professional services as needed. Experience with software development lifecycle, or experience in…
Senior Manager Solution Architect
Digital Realty —서울
Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud strategies. 10+ years of hands-on experience in infrastructure architecture, systems…

Show more similar jobs

종로, 11의 workplace specialist에 대한 최신 취업소식을 받고 싶습니다.

계정에 로그인하면 SimplyHired의 서비스 이용약관과 쿠키 및 개인정보 취급방침에 동의하는 것입니다.

더 많은 지역의 채용공고 둘러보기

workplace specialist jobs near 종로, 11

서울 지역 Solution Architect 채용공고

서울 지역 Enterprise Architect 채용공고

경기도 성남 지역 Solution Architect 채용공고

서울 지역 Sales Service Associate 채용공고

서울 지역 Sales Engineer 채용공고

서울 지역 Sales Lead 채용공고

서울 지역 Technical Support Engineer 채용공고

서울 지역 Machine Learning Engineer 채용공고

부산광역시 지역 Engineer 채용공고

서울 지역 Cost Engineer 채용공고

서울 지역 Distribution Manager 채용공고

AI Solution Architect

Amazon Web Services Korea LLC -
서울

지금 지원하기

채용공고 세부정보

정규직
8일 전

상세 직무 내용

DESCRIPTION

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. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system.
Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.

Key job responsibilities

The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and 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).
Technical Leadership & Mentorship: Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization.

BASIC QUALIFICATIONS

4+ years of design, implementation, or consulting in applications and infrastructures experience
4+ years of working with or evaluating AI systems experience
Experience implementing AI solutions that can include 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, and 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

PREFERRED QUALIFICATIONS

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).

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

지금 지원하기

검색결과 새로고침

종로, 11 지역 채용공고 workplace specialist건

AI Solution Architect

Cloud Architect, Professional Services

Maintenance Engineer(contract)

AI Sales Graduate (BytePlus) - 2027 Start

Engineering Manager 과차장급 (시청역 근무)

More jobs to discover

종로, 11의 workplace specialist에 대한 최신 취업소식을 받고 싶습니다.

더 많은 지역의 채용공고 둘러보기

DESCRIPTION

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

구직자 도구

기업회원 도구

찾아보기

연결 상태 유지하기