Amazon Web Services

Solutions Architect, Professional Services, Cloud Computing

SeniorDeliveryConsultant-AI/ML

S$140–220k ~AI est. Singapore, Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Delivery Consultant - AI/ML at Amazon Web Services. Skills: Machine learning, AWS, Cloud consulting, Solution architecture. Design AWS solutions. Implement AWS solutions”

What You'll Achieve.

Meet technical requirements; Meet business objectives; Drive customer success; Achieve specific outcomes; Deliver business value

Industry & Context.

Solutions Architect, Professional Services, Cloud Computing
Problems you'll solve

Problem resolution; Technical challenges

Eligibility Requirements

Ability to travel, 25% travel

What They're Looking For.

Must Have

Experience training ML systems, Experience deploying ML systems, Experience dealing with customers, Experience operating under pressure, Bachelor's degree in CS or related, 5+ years ML model building, 5+ years algorithm development, 3+ years ASEAN region experience

Nice to Have

AWS experience, AWS Professional certifications, Experience with automation, Experience with scripting, Knowledge of security standards, Knowledge of compliance standards, Technical communication skills, Ability to explain technical concepts, Technical experience, Knowledge of AWS Data Technology stack, Knowledge of ML integration, Knowledge of Generative AI integration, Ability to obtain Singapore security clearance

What You'll Do.

Implement AWS solutions

Advise on architecture best practices

Manage customer stakeholders

Conduct customer workshops

Implement AI/ML workloads

Explore ML possibilities

Develop scalable ML solutions

Discuss business concepts

Drive customer engagements

Identify opportunities

Provide technical leadership

Ensure scope alignment

Ensure deliverable alignment

Ensure timeline alignment

Ensure outcome alignment

How You'll Work.

Team & Collaboration

Customer teams; AWS Partner Network

Communication Scope

Explain technical concepts

Process & Methodology

Scoping, Delivery management

Full Job Description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities This role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and imple

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