Senior Delivery Consultant- GenAI/ML, AWS, Industries
Listed on 2026-01-12
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Scientist
Senior Delivery Consultant
- GenAI/ML, AWS, Industries
Join to apply for the Senior Delivery Consultant
- GenAI/ML, AWS, Industries role at Amazon Web Services (AWS)
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 customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step‑by‑step with customers to build bespoke solutions that harness the power of generative AI.
The Amazon Web Services Professional Services (Pro Serve) team seeks a skilled Delivery Consultant to join our team. In this role you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Key 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.
- 5+ years of cloud‑based solution (AWS or equivalent) experience in system, network and operating system.
- Bachelor’s degree in computer science, engineering, mathematics or equivalent.
- Experience in software development with an object‑oriented language.
- 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine‑tuning, and inferences).
- AWS Professional level certification.
- Masters 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 (e.g., 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 (e.g., HIPAA, GDPR).
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stop innovating—our customers from startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture:
Here at AWS, learning and curiosity are at the core. Our employee‑led affinity groups foster a culture of inclusion that empowers us to celebrate our differences. We provide mentorship, career growth, and work/life balance to help you thrive.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or any other legally protected status.
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