Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

About the role

Amazon Web Services Professional Services (ProServe) is seeking a skilled Delivery Consultant. In this role, you'll work closely with customers to design, implement, and manage AWS 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 project lifecycle.

As a Delivery Consultant you will be proficient in architecting complex, scalable, and secure 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.

Key job responsibilities

• Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
• Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
• Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Basic qualifications

• 7+ years of technical specialist, design and architecture experience
• 5+ years of database (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• 7+ years of consulting, design and implementation of serverless distributed solutions experience
• 5+ years of software development with object oriented language 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
• 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
• 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
• 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

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
• PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
• Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
• Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
• Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Pay

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, CA, Mountain View: $176,600.00 - $239,000.00 USD annually
• USA, CA, San Diego: $153,600.00 - $207,800.00 USD annually
• USA, CA, San Francisco: $176,600.00 - $239,000.00 USD annually
• USA, WA, Seattle: $153,600.00 - $207,800.00 USD annually

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. Learn more about our benefits at https://amazon.jobs/en/benefits.

This response is AI-generated, for reference only.