Delivery Consultant – AI ML, Professional Services, AWSI HCLS

We need to output only HTML fragment, no html/body tags, no markdown fences. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must preserve all substantive info, not invent or summarize away detail. Remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Also remove Job ID/requisition numbers as headings; fold minor metadata into short

or drop it. We need to parse the description. First part: "Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to serve as a technical builder for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you'll work closely with customers to design, implement, and manage AWS AI ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing hands-on technical builds and best practices throughout the project lifecycle. You will bring a "T-shaped" profile: proficiency across AI/ML, architecture modernization, and data engineering, paired with distinctive expertise in one of these technical areas. 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. This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S. 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." That's the description. Then "Key job responsibilities As an experienced technology professional, you will be responsible for:" then bullet list. Then "About The Team About AWS: Diverse Experiences: ..." That's about team and culture. Then "10044 Basic Qualifications" then list. Then "Preferred Qualifications" then list. Then "Amazon is an equal opportunity employer..." etc. That's boilerplate to remove. Then "Los Angeles County applicants: Job duties for this position include: ..." That's also boilerplate? It's location-specific legal. Probably remove as boilerplate. Then "Pursuant to the Los Angeles County Fair Chance Ordinance..." etc. Remove. Then "Our inclusive culture empowers Amazonians..." etc. Remove. Then "If you have a disability..." etc. Remove. Then "If the country/region you’re applying in isn’t listed..." Remove. Then "The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits." Then location salary ranges: "USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually" etc. Then "Company - Amazon Web Services, Inc. Job ID: A10551908" We need to include sections: About the role (maybe from description?), Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what content goes where. "About the role": Could be the initial description paragraph(s) that describe the role. That seems appropriate. "Responsibilities": The bullet list under "Key job responsibilities". "Requirements": Could be Basic Qualifications? Usually "Requirements" = basic qualifications. "Qualifications" maybe preferred qualifications? But we have both Basic and Preferred. The instruction says use headings for Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide mapping. We have "Basic Qualifications" and "Preferred Qualifications". Could map Basic Qualifications to "Requirements". Preferred Qualifications to "Qualifications". Skills maybe we can extract from responsibilities? Or we could combine skills from bullet list? Might be redundant. But we need to include a section only if posting has real specific content. We have skills implied in responsibilities (designing, implementing, etc.) but maybe we can create a Skills section summarizing technical skills: AI/ML, architecture modernization, data engineering, AWS services, etc. However we must not invent or summarize away detail; we can extract explicit skill mentions. From description: proficiency across AI/ML, architecture modernization, and data engineering; distinctive expertise in one of these technical areas; deep understanding of AWS products and services; proficient in architecting complex, scalable, and secure solutions; gather requirements, assess infrastructure, propose migration strategies; guidance on industry trends, emerging technologies; leading implementation process; ensuring adherence to best practices, optimizing performance, managing risks; 50% co-location. From responsibilities bullet list: Designing, implementing, and engineering complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs; Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services; Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies; Acting as a trusted advisor to customers on industry trends and emerging technologies; Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts. From Basic Qualifications: 3+ years of cloud architecture and solution implementation experience; Knowledge of the primary aws services (ec2, elb, rds, route53 & s3); Experience implementing AWS services in a variety of distributed computing environments. From Preferred Qualifications: 5+ years of IT implementation experience; degree in advanced technology, or AWS Professional level certification; Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies; Knowledge of security and compliance standards including HIPAA and GDPR; Experience and technical expertise (design and implementation) in cloud computing technologies; Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience; Experience in performance optimization and cost management for cloud environments; Experience presenting technical solutions to diverse audiences in pre-sales environments. Thus we can create sections: - About the role: description paragraph(s) (maybe first paragraph up to "This role requires approximately 50% co-location..."). - Responsibilities: bullet list from "Key job responsibilities". - Requirements: Basic Qualifications bullet list. - Qualifications: Preferred Qualifications bullet list. - Skills: maybe we can extract a list of technical skills from the description and qualifications: AI/ML, architecture modernization, data engineering, AWS services (EC2, ELB, RDS, Route53, S3, compute, storage, networking, security, databases, machine learning, serverless), HIPAA, GDPR, performance optimization, cost management, presenting technical solutions, mentoring, training, creating reusable artifacts. But we must not invent; we can list those explicitly mentioned. Could be okay. - Benefits: The paragraph about comprehensive benefits (health insurance, 401(k) matching, paid time off, parental leave). Also mention sign-on payments and RSUs? That's compensation but could be part of Benefits. The instruction says include Benefits section only if posting actually states them. It does state benefits. So we can include. - Pay: The base salary ranges for locations. That is specific. So include Pay section with those ranges. - Schedule: The role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S. That's schedule info. So include Schedule section. We must not include headings with filler text. Ensure each section has real content. We must not repeat job title as heading. Not include Job ID. We must output only HTML fragment, no /. Use

for headings,

• for lists,

  for prose. We need to ensure we don't include any boilerplate like EEO, equal opportunity, etc. Also remove duplicated lines. Let's craft. First, About the role: combine the initial description paragraphs up to maybe before "Key job responsibilities". The description includes multiple sentences. We'll put them in

  . We need to be careful not to include the "Description" word at start. The text starts "Description The Amazon Web Services..." We'll just start with "The Amazon Web Services Professional Services (ProServe) team is seeking..." etc. We'll include the paragraph(s) that describe role, including the 50% co-location sentence and the description of AWS ProServe organization. That seems all part of About the role. Let's extract: "The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to serve as a technical builder for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you'll work closely with customers to design, implement, and manage AWS AI ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing hands-on technical builds and best practices throughout the project lifecycle. You will bring a "T-shaped" profile: proficiency across AI/ML, architecture modernization, and data engineering, paired with distinctive expertise in one of these technical areas. 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. This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S. 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." That seems good. Now Responsibilities: bullet list from "Key job responsibilities". The bullet points: - Designing, implementing, and engineering complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts We'll put each as

• . Now Requirements: Basic Qualifications bullet list: - 3+ years of cloud architecture and solution implementation experience - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments Now