[Hiring] Delivery Consultant @Amazon

Role Description

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI 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 ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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 is a customer-facing role with potential travel to customer sites as needed.

Key Responsibilities

• Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment, and monitoring.
• Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
• Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
• Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
• Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures.
• Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
• Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

Qualifications

• 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

• 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

• Comprehensive 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.

Salary Information

• USA, CA, Mountain View - 151,000.00 - 204,300.00 USD annually.
• USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually.
• USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually.
• USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually.
• USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually.
• USA, NY, New York - 144,500.00 - 195,400.00 USD annually.
• USA, TX, Austin - 131,300.00 - 177,600.00 USD annually.
• USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually.
• USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually.
• USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually.