Delivery Consultant – AI ML, Professional Services, AWSI HCLS
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID etc. Remove boilerplate.
We need to parse the description and extract content.
Let's identify sections:
- About the role: The initial description paragraphs before "Key job responsibilities". That includes: "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."
We can put that as About the role.
- Responsibilities: "Key job responsibilities As an experienced technology professional, you will be responsible for:" then 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
We can put as - .
- About The Team: There's a section "About The Team About AWS:" then paragraphs about Diverse Experiences, Why AWS? etc. That's more about company culture. Could be "About the Team" section. We'll include as About the Team.
- Basic Qualifications: 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
- Preferred Qualifications: list:
- 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
- Benefits: The description includes: "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." Also earlier: "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." Also "Learn more about our benefits at https://amazon.jobs/en/benefits." So we have benefits content.
- Pay: Salary ranges listed for various locations: "USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually" etc. Also mention sign-on payments and RSUs. So we have Pay.
- Schedule: "This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S." That's schedule info (co-location). Could be placed under Schedule.
We must not create sections with filler like "commensurate with experience". We have actual content.
We need to output only HTML fragment, no /. Use
for each section heading. Use - for lists. Use
for prose.
We need to decide which sections to include: About the role, Responsibilities, About the Team, Basic Qualifications, Preferred Qualifications, Benefits, Pay, Schedule. Possibly also Skills? Not explicitly separate; qualifications cover skills. Could combine Basic and Preferred under Requirements? But we have both. We'll follow headings as given: About the role, Responsibilities, About the Team, Basic Qualifications, Preferred Qualifications, Benefits, Pay, Schedule.
Make sure not to repeat job title. No mention of Job ID.
We need to strip boilerplate: EEO, equal opportunity, scam warning, navigation, cookie, legal, etc. Also remove "Los Angeles County applicants:" etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Also remove "If you have a disability..." etc. Also remove "If the country/region you’re applying in isn’t listed..." etc. Also remove "Amazon is an equal opportunity employer..." etc. Also remove "Pursuant to the Los Angeles County Fair Chance Ordinance..." etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Also remove "If you have a disability..." etc. Also remove "If the country/region you’re applying in isn’t listed..." etc. Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." maybe keep as part of benefits? It's a link; but we can keep as part of benefits prose? Might be considered boilerplate but it's a link to benefits. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The link to benefits is not exactly boilerplate but could be considered application instruction? It's a reference. Safer to keep benefits description but maybe drop the link. We'll keep benefits description without the link.
Also remove "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." That's part of compensation/pay; we can keep under Pay.
Also remove "Final compensation will be determined based on factors including experience, qualifications, and location." That's generic; maybe we can keep as part of Pay? It's somewhat generic but still specific? It's not a filler like "commensurate with experience". It's still generic but maybe okay. However we might keep it as part of Pay.
Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." We'll drop.
Also remove "The base salary range for this position is listed below." That's intro to Pay; we can keep as part of Pay.
Now craft HTML.
We'll need to escape any special characters like & etc. Use plain text.
Let's draft:
About the role
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.
Responsibilities
- 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
About the Team
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. 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 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.
Basic Qualifications
- 3+ years of
for each section heading. Use - for lists. Use
for prose.
We need to decide which sections to include: About the role, Responsibilities, About the Team, Basic Qualifications, Preferred Qualifications, Benefits, Pay, Schedule. Possibly also Skills? Not explicitly separate; qualifications cover skills. Could combine Basic and Preferred under Requirements? But we have both. We'll follow headings as given: About the role, Responsibilities, About the Team, Basic Qualifications, Preferred Qualifications, Benefits, Pay, Schedule.
Make sure not to repeat job title. No mention of Job ID.
We need to strip boilerplate: EEO, equal opportunity, scam warning, navigation, cookie, legal, etc. Also remove "Los Angeles County applicants:" etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Also remove "If you have a disability..." etc. Also remove "If the country/region you’re applying in isn’t listed..." etc. Also remove "Amazon is an equal opportunity employer..." etc. Also remove "Pursuant to the Los Angeles County Fair Chance Ordinance..." etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Also remove "If you have a disability..." etc. Also remove "If the country/region you’re applying in isn’t listed..." etc. Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." maybe keep as part of benefits? It's a link; but we can keep as part of benefits prose? Might be considered boilerplate but it's a link to benefits. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The link to benefits is not exactly boilerplate but could be considered application instruction? It's a reference. Safer to keep benefits description but maybe drop the link. We'll keep benefits description without the link.
Also remove "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." That's part of compensation/pay; we can keep under Pay.
Also remove "Final compensation will be determined based on factors including experience, qualifications, and location." That's generic; maybe we can keep as part of Pay? It's somewhat generic but still specific? It's not a filler like "commensurate with experience". It's still generic but maybe okay. However we might keep it as part of Pay.
Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." We'll drop.
Also remove "The base salary range for this position is listed below." That's intro to Pay; we can keep as part of Pay.
Now craft HTML.
We'll need to escape any special characters like & etc. Use plain text.
Let's draft:
About the role
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.
Responsibilities
- 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
About the Team
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. 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 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.
Basic Qualifications
- 3+ years of
for prose. We need to decide which sections to include: About the role, Responsibilities, About the Team, Basic Qualifications, Preferred Qualifications, Benefits, Pay, Schedule. Possibly also Skills? Not explicitly separate; qualifications cover skills. Could combine Basic and Preferred under Requirements? But we have both. We'll follow headings as given: About the role, Responsibilities, About the Team, Basic Qualifications, Preferred Qualifications, Benefits, Pay, Schedule. Make sure not to repeat job title. No mention of Job ID. We need to strip boilerplate: EEO, equal opportunity, scam warning, navigation, cookie, legal, etc. Also remove "Los Angeles County applicants:" etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Also remove "If you have a disability..." etc. Also remove "If the country/region you’re applying in isn’t listed..." etc. Also remove "Amazon is an equal opportunity employer..." etc. Also remove "Pursuant to the Los Angeles County Fair Chance Ordinance..." etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Also remove "If you have a disability..." etc. Also remove "If the country/region you’re applying in isn’t listed..." etc. Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." maybe keep as part of benefits? It's a link; but we can keep as part of benefits prose? Might be considered boilerplate but it's a link to benefits. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The link to benefits is not exactly boilerplate but could be considered application instruction? It's a reference. Safer to keep benefits description but maybe drop the link. We'll keep benefits description without the link. Also remove "Your Amazon package will include sign-on payments and restricted stock units (RSUs)." That's part of compensation/pay; we can keep under Pay. Also remove "Final compensation will be determined based on factors including experience, qualifications, and location." That's generic; maybe we can keep as part of Pay? It's somewhat generic but still specific? It's not a filler like "commensurate with experience". It's still generic but maybe okay. However we might keep it as part of Pay. Also remove "Learn more about our benefits at https://amazon.jobs/en/benefits." We'll drop. Also remove "The base salary range for this position is listed below." That's intro to Pay; we can keep as part of Pay. Now craft HTML. We'll need to escape any special characters like & etc. Use plain text. Let's draft:
About the role
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.
Responsibilities
- 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
About the Team
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. 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 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.
Basic Qualifications
- 3+ years of