Senior Delivery Consultant- GenAI​/ML, AWS, Industries

Senior Delivery Consultant — GenAI/ML, AWS, Industries

Get AI-powered advice on this job and more exclusive features.

Final date to receive applications:
Applications will be accepted on an ongoing basis.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals.

The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). 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.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to each customer’s needs. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As a trusted advisor, you’ll guide customers on industry trends, emerging technologies, and innovative solutions, lead the implementation process, ensure adherence to best practices, optimize performance, and manage risks throughout the project.

Key job responsibilities include:

• 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, focusing 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 on industry trends and emerging technologies.
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

AWS values diverse experiences and encourages candidates to apply regardless of traditional paths. Amazon Web Services is the world’s most comprehensive and widely adopted cloud platform. The team culture promotes inclusion, mentorship, career growth, and work/life balance.

• 5+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience.
• Bachelor’s degree in computer science, engineering, mathematics, or equivalent.
• Experience in software development with object–oriented languages.
• 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., training, fine‑tuning, and inference).

• AWS Professional level certification.
• Master’s or PhD degree in computer science or related technical, math, or scientific field.
• Strong working knowledge of deep learning, machine learning, and statistics.
• Experience with AWS services such as Sage Maker, Bedrock, EMR, S3, Open Search Service, Step Functions, Lambda, and EC2.
• Hands‑on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
• Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts to non‑experts.
• Knowledge of security and compliance standards (HIPAA, GDPR).

Amazon is an equal‑opportunity employer and does not discriminate based on veteran status, disability, or other protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions;…