Delivery Consultant – AI ML, Professional Services, AWSI HCLS

We need to output HTML fragment with sections: About the role (maybe description), Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate like EEO, legal, etc. Must preserve all substantive info. 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: ..." includes many paragraphs about culture, etc. Might be considered "About the team" but not requested headings. We have headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can map. "About the role" could be the description paragraph(s). "Responsibilities" is the bullet list under Key job responsibilities. "Requirements" maybe Basic Qualifications. "Qualifications" maybe Preferred Qualifications. "Skills" maybe not explicit but could combine knowledge areas. "Benefits" we have mention of benefits: "Amazon also offers comprehensive benefits including health insurance..., 401(k) matching, paid time off, and parental leave." Also earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Also mention of base salary range later. "Pay" we have salary ranges for various locations. "Schedule" we have "This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S." That's schedule info. We must not include sections with placeholder or vague like "commensurate with experience". Not present. We must not include duplicated lines. We must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So remove the EEO paragraphs, the Los Angeles County etc, the accommodation link, etc. Also remove the "About AWS: Diverse Experiences..." maybe that's part of About the Team but not requested heading; we could include under About the role? Might be considered fluff but it's substantive about culture. However we have limited headings; we could include under About the role or maybe not include a separate section. The instruction: Prefer a few substantive sections over many thin ones. So we could combine About the role and About the team into About the role section. We need to preserve all substantive information. So we need to include the culture paragraphs? They are substantive about AWS culture. Might be considered part of About the role/team. We'll include them in About the role section. We must not include the "About The Team About AWS: Diverse Experiences:" heading itself; we just put content in

. We must not include the "Basic Qualifications" heading as a heading; we will put under Requirements section. Similarly "Preferred Qualifications" under Qualifications. Skills: maybe we can extract from qualifications: knowledge of AWS services, etc. Could be a separate Skills section but we might combine into Requirements/Qualifications. However we have a Skills heading allowed; we could create a Skills section summarizing technical skills: proficiency in AI/ML, architecture modernization, data engineering, AWS services, etc. But we must not invent or summarize away detail; we must preserve ALL substantive information. If we create a Skills section, we need to include the specific skill statements from the posting. The posting includes: "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." Also "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." Also "Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)" etc. Also "Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies". Also "Knowledge of security and compliance standards including HIPAA and GDPR". Also "Experience and technical expertise (design and implementation) in cloud computing technologies". Also "Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience". Also "Experience in performance optimization and cost management for cloud environments". Also "Experience presenting technical solutions to diverse audiences in pre-sales environments". So we could put those under Skills. But we must not duplicate content; if we put them under Skills, we should not also repeat them under Requirements/Qualifications. However the instructions say preserve ALL substantive information; we can distribute but not duplicate. It's okay to have overlapping as long as we don't repeat same sentence? Might be considered duplication. Safer to keep them under Requirements and Qualifications as they are explicitly labeled. Skills section could be omitted if not needed. The instruction: Prefer a few substantive sections over many thin ones. So maybe we skip Skills section and put skill details under Requirements and Qualifications. Thus sections: About the role (description + team culture), Responsibilities (bullet list), Requirements (Basic Qualifications), Qualifications (Preferred Qualifications), Benefits, Pay, Schedule. We must not include sections with no content. Now we need to format. Use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not include / or markdown. We need to ensure we preserve all substantive info from the posting, excluding boilerplate. Let's extract the description prose. Description paragraph(s): "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. Now About AWS culture paragraphs: "About The Team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 pioneeredcloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’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 Balance - We 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." We need to preserve that. It's substantive. Now Responsibilities bullet list: "Key job responsibilities As an experienced technology professional, you will be responsible for: 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 need to split into list items. Now Basic Qualifications: "10044 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" Note there is a "10044" maybe a code; we should drop minor metadata like Job ID etc. The "10044" maybe internal code; we can drop as minor metadata. So we keep the qualifications. Now Preferred Qualifications: "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