Delivery Consultant - AI/ML, AWS Professional Services - HCLS
About the role
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.
Responsibilities
As an experienced technology professional, you will be responsible for implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring. You will design and implement Agentic AI and machine learning pipelines that support high-performance, reliable, scalable, and secure AI/ML workloads. You will also design scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable. Additionally, you will collaborate with cross-functional teams to prepare, analyze, and operationalize data and AI/ML models, serve as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures, and share knowledge and best practices within the organization.
Requirements
- 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
- 3+ years of software development, or 3+ years of scripting language experience
- 3+ years of building machine learning and generative AI models for business application experience
- 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- Experience with cloud services related to machine learning (e.g., Amazon SageMaker) and generative AI applications
Preferred Qualifications
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools
- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines
- Domain expertise in healthcare and life sciences
Benefits
Amazon 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.
Pay
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. 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, Dallas - $131,300.00 - $177,600.00 USD annually USA, TX, Houston - $131,300.00 - $177,600.00 USD annually USA, VA, Arlington - $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