Delivery Consultant- AI/ML, Data & Machine Learning (DML) (AWS)

Amazon; Arlington (VA); On-site; USD 110,000 - 170,000; Full time

Job summary

Amazon’s AWS ProServe is looking for a Delivery Consultant for AI/ML to design, evangelize, implement, and scale customer AI solutions that meet demanding requirements and business goals. You will lead projects from model selection to deployment, ensuring secure, cost-efficient, and scalable outcomes.

You will collaborate with stakeholders to identify high‑value AI use cases, drive model performance enhancements, and mentor teams while maintaining focus on operational excellence and ethical AI

Qualifications

• Bachelor's degree or higher in STEM.
• Experience in professional software engineering and SDLC best practices.
• 3+ years of ML/statistical modeling, data analysis tools and techniques.
• Current, active US Government Top Secret or TS/SCI clearance.

Responsibilities

• Design and implement scalable, secure AI/ML solutions on AWS.
• Develop and deploy ML models and generative AI apps at scale.
• Collaborate with stakeholders to identify high‑value AI use cases and requirements.
• Provide guidance on responsible, cost‑efficient AI adoption and best practices.
• Act as trusted advisor on AI advancements and data sources for business impact.
• Mentor teammates and create reusable AI/ML artifacts.

Skills

Machine learning

Software engineering

Data analysis

Communication

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

Python

SQL/NoSQL

API development

Job description

Delivery Consultant- AI/ML, Data & Machine Learning (DML)

Job ID: 10394713 | Amazon Web Services, Inc.

This position requires the selected candidate to be a US Citizen and hold an active Top Secret or TS/SCI security clearance.

The AWS Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to work at the forefront of AI and generative models. In this role you will design, evangelize, implement, and scale AI/ML solutions that meet customer technical requirements and business objectives, driving customer success through their AI transformation journey.

Key Responsibilities

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine‑tuning appropriate models for specific use cases.
• Developing and deploying machine learning models and generative AI applications that solve real‑world business problems, conducting experiments and optimizing for performance at scale.
• Collaborating with customer stakeholders to identify high‑value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions.
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost‑efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices.
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact.
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility.

Basic Qualifications

• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM).
• Experience in professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
• 3+ years of machine learning/statistical modeling, data analysis tools and techniques.
• Current, active US Government Security Clearance of Top Secret or above.

Preferred Qualifications

• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM).
• Experience working on multi‑team, cross‑disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data‑driven business decisions.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions.
• Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks.

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

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 optional 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 .