Amazon Web Services (AWS) · 1 day ago
Delivery Consultant- GenAI/ML & Data Science, AWS Industries
Arlington, VA
Full-time
Onsite
Senior Level
$131K/yr - $178K/yr
5+ years expAmazon Web Services (AWS) is seeking a skilled Delivery Consultant to join their Professional Services team. In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
Experience developing software code in one or more programming languages (java, python, etc.)
PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
5+ 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
5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred
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 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
Benefits
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
Parental leave
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
2026-01-03
2026-01-03
2025-12-31
Company data provided by crunchbase