Sr. Delivery Consultant - AI/ML, AWSI Energy SDT

Description

Join AWS Professional Services' Energy segment in Houston as a Data Scientist and help global enterprises turn complex data into real business impact with AI. You’ll design, build, validate, and deploy end-to-end machine learning and deep learning solutions on AWS—working alongside Big Data and DevOps specialists to take models from discovery through production.

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.

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.