Principal Delivery Consultant, Emerging Tech

Amazon is hiring a Principal Delivery Consultant, Emerging Tech in Dallas, United States. It pays $210k-$284k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI consultant role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Pay on this posting starts 39% higher than the typical AI consultant posting on Level.
The posting mentions AWS, Generative AI and computer vision among its tools and skills.
Level classes it as a lead role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and implement scalable AWS cloud and generative AI solutions for semiconductor manufacturing and EDA workloads.

AWSGenerative AI

computer-visioncloud-architecturehigh-performance-computingmigration

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 semiconductor and high-tech manufacturing 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 Principal 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 EDA and manufacturing 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 the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Your focus will span EDA workload migration, smart manufacturing, digital twins, and generative AI applications for chip design and verification. You'll partner with technology leaders to assess their current state, architect cloud-native solutions, and deliver transformative engagements across the entire chip value chain.

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
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions for semiconductor customers — including high-performance computing environments for chip design, simulation, and verification
- Providing technical guidance and troubleshooting support throughout project delivery, incorporating smart manufacturing solutions such as industrial data fabric, digital twins, and computer vision for defect detection
- Collaborating with stakeholders to gather requirements and propose effective migration strategies for EDA workloads and manufacturing systems
- Acting as a trusted advisor to customers on semiconductor industry trends, emerging technologies, and best practices for cloud adoption
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts — including reference architectures and AI/ML workflows for accelerating the design-to-fab process

A day in the life
Your morning might start with a working session alongside a semiconductor customer's engineering team, helping them optimize their EDA compute environment for faster tape-out cycles. After lunch, you're whiteboarding a computer vision architecture for automated wafer inspection with a solutions architect and account manager. Later, you're refining a proof-of-concept that uses generative AI to accelerate chip verification workflows. Between customer calls, you're contributing to a reference architecture that will help the next customer get to value faster.

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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.

Inclusive Team Culture
AWS 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 and 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.

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Basic qualifications

- 8+ years of cloud architecture and solution implementation experience
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience
- Experience implementing cloud-based technology solutions, or experience architecting/operating solutions built on a cloud provider (e.g., AWS, Azure, GCP)
- Experience with semiconductor manufacturing processes, EDA tools and workflows, or Industry 4.0/smart factory implementations
- 5+ years of customer-facing work, engaging with customer executives, technologists, or partners to solve business problems with cloud technologies

Preferred qualifications

- AWS Professional level certification
- 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience communicating technical concepts to a non-technical audience
- Experience with EDA tools and workflows (Synopsys, Cadence, Mentor) and high-performance computing for chip design and verification
- Knowledge of advanced manufacturing optimization techniques, digital twin technologies, and computer vision for defect detection
- Familiarity with industrial IoT protocols (OPC-UA, SECS/GEM), edge computing, and manufacturing execution systems (MES)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.

USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually
USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually
USA, IL, Chicago - 182,800.00 - 247,300.00 USD annually
USA, MA, Boston - 182,800.00 - 247,300.00 USD annually
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
USA, TN, Nashville - 173,600.00 - 234,900.00 USD annually
USA, TX, Dallas - 182,800.00 - 247,300.00 USD annually
USA, TX, Houston - 182,800.00 - 247,300.00 USD annually
USA, VA, Arlington - 182,800.00 - 247,300.00 USD annually
USA, WA, Bellevue - 182,800.00 - 247,300.00 USD annually

How we rate this

Principal Delivery Consultant, Emerging Tech at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Delivery Consultant, Emerging Tech is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $210k-$284k a year.
The role is based in US, TX, Dallas.
The job was posted on July 10, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionCloud ArchitectureHigh Performance ComputingMigrationAWSGenerative AI

Also common in AI consultant jobs at this level

AI agents Python LLM RAG SQL Prompt engineering

Pay

This job starts at: $210k
Typical AI consultant job: $151k

This posting starts 39% above the typical AI consultant job. See AI consultant jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where high performance computing was part of your work. What did you do?
Tell me about a project where migration was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer vision, Cloud Architecture, High Performance Computing, Migration, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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