Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center

Senior Forward Deployed Deep Learning Architect, Generative AI Innovation CenterJob ID: | Amazon Web Services Korea LLCAre you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilitiesAs a Deep Learning Architect, you will:Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challengesInteract with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to productionCreate and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholderProvide customer and market feedback to product and engineering teams to help define product directionA day in the lifeThis is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.About the teamAWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee‑led and company‑sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.Work/Life BalanceWe value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.#aws-korea-proserv-ap#AWSKOREA#genaiBasic QualificationsBachelor's degree in Computer Science, or a related technical, mathematical, or scientific field (or equivalent practical experience)7+ years of experience designing, building, and/or operating cloud solutions in AI/GenAI production environments, specifically in AWS cloud native environments3+ years of experience hosting and deploying ML solutions (e.g., training, fine‑tuning, and inference)Years of hands‑on experience using Python to build, train, and evaluate modelsYears of customer‑facing consultative experience engaging with clients to diagnose issues, solve complex technical challenges, and deliver solutions across multiple projects and production environments.Preferred QualificationsMasters or PhD degree in computer science, or related technical, math, or scientific fieldStrong working knowledge of deep learning, machine learning, generative AI, and statisticsExperience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMakerExperience communicating across technical and non‑technical audiences, including executive level stakeholders or clientsExperience building cloud solutions with AWSOur 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Posted: September 19, 2025 (Updated about 2 months ago)Posted: March 18, 2025 (Updated 3 months ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr