Sr. Delivery Consultant - AI/ML, AWSI Energy SDT
Amazon is hiring a Sr. Delivery Consultant - AI/ML, AWSI Energy SDT in Houston, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI consultant role: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical AI consultant posting on Level.
- Tools and skills the posting cites include Bedrock, AWS and Machine learning.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design and deploy end-to-end machine learning and AI solutions on AWS while providing technical leadership and sales guidance.
This is an opportunity to solve high-value customer problems using AWS AI services, modern ML/DL frameworks, and large-scale cloud infrastructure, while exploring emerging approaches in areas such as model monitoring and retraining. If you are curious, customer-focused, love diving deep into data, and want to grow with a collaborative team at the forefront of cloud AI, this role offers meaningful technical challenges, mentorship, and strong career development opportunities in a high-growth industry segment for AWS cloud.
221100
Key job responsibilities
As an experienced Professional Services Sales Leader, you will be responsible for:
• Leading and developing a high-performing team of Account Executives and Cloud Architects
• Developing and supporting execution of sales strategies to meet team targets and drive revenue growth
• Managing customer relationships, ensuring high satisfaction and identifying new opportunities
• Leveraging deep AWS knowledge to guide sellers in proposing optimal solutions
• Monitoring and analyzing key performance indicators, ensuring accurate reporting and forecasting to optimize operational processes and manage risk
A day in the life
As an AWS Professional Services Data Scientist, you will partner with enterprise and public-sector customers to identify high-value AI/ML opportunities and translate business challenges into scalable cloud solutions. Day to day, you will work with customer business leaders, data teams, IT teams, and product owners to assess data, build and validate ML/DL models, and communicate results. You will collaborate with AWS consultants from other specialty disciplines to deploy, monitor, and retrain models. Typical problems include forecasting, fraud or anomaly detection, personalization, document automation, and operational optimization.
Basic qualifications
- 7+ years of technical specialist, design and architecture experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of cloud architecture and solution implementation experience
- Bachelor's degree, or 7+ years of professional or military experience
Preferred qualifications
- 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 in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience in designing and operationalizing agentic AI systems using patterns such as multi-agent orchestration, tool-use agents, and workflow orchestration — ideally leveraging AWS services (Amazon Bedrock, AgentCore)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, TX, Houston - 153,600.00 - 207,800.00 USD annually
How we rate this
Sr. Delivery Consultant - AI/ML, AWSI Energy SDT at Amazon rates 65 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $154k
- Typical AI consultant job
- $151k
This posting starts close to the typical AI consultant job. See AI consultant jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where ai solutions was part of your work. What did you do?
- Tell me about a project where sales leadership was part of your work. What did you do?
- Walk me through how you've used Bedrock in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Cloud Computing, AI Solutions, Sales Leadership, and Bedrock. 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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