Senior Delivery Consultant - AI/ML, AWS Professional Services
Listed on 2026-06-19
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations, Data Engineering
Position Overview
As a Delivery Consultant within the Amazon Web Services Professional Services (Pro Serve) team, you will work closely with customers to design, implement, and manage AWS AI/ML and Generative AI (GenAI) 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 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.
This is a customer‑facing role with potential travel to customer sites as needed.
Basic Qualifications- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
- 5+ years of cloud architecture and solution implementation experience.
- 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience.
- 5+ years leading technical teams and hands‑on experience focused on data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design).
- 5+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models on cloud (e.g., Amazon Sage Maker or similar).
- Experience with the AWS platform, web services, software development, or related technologies.
- Experience conveying complex technical concepts to both technical and business audiences.
- Knowledge of one or more ML Frameworks (e.g., PyTorch, Tensor Flow) and ML methods including NLP models (BERT, GPT‑2/3), computer vision‑based models (object detection, image recognition), and text‑based models (Seq2
Seq, Topic modeling). - Knowledge of security and compliance standards including HIPAA and GDPR.
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., Cloud Formation, CDK), and Containers & CI/CD Pipelines.
- Experience building ML pipelines with MLOps best practices, including data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining.
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, Lang Chain, Prompt Engineering).
Amazon also 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.
EEO StatementAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants:
Job duties for this position…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).