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

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Amazon
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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

o:  | Amazon Web Services, Inc.

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 will drive customer success throughout the cloud journey, providing technical expertise and best practices through the project lifecycle.

Key Job Responsibilities
  • Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs.
  • Provide technical guidance and implementation support throughout project delivery, focusing on using AWS AI/ML services.
  • Collaborate with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies.
  • Act as a trusted advisor to customers on industry trends and emerging technologies.
  • Share knowledge within the organization through mentoring, training, and creating reusable artifacts.
Qualifications
  • 7+ years of technical specialist, design and architecture experience
  • 5+ years of database (SQL, No

    SQL, Hadoop, Spark, Kafka, Kinesis) experience
  • 7+ years of consulting, design and implementation of serverless distributed solutions
  • 5+ years of software development with object‑oriented languages
  • 3+ years of cloud‑based solution, system, network and operating system 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
  • 5+ years of experience hosting and deploying GenAI/ML solutions or data science experience
  • 8+ years of coding, data querying languages (e.g., SQL) and scripting languages (e.g., Python)
  • Degree in advanced technology or AWS Professional level certification
  • Knowledge of AWS services: 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 Master of Science in Computer Science or related technical, math, or scientific field (or equivalent experience)
  • Proficiency in a wide range of AWS services (e.g., Sage Maker, Bedrock, EMR, S3, Open Search Service, Step Functions, Lambda, EC2)
  • AWS Professional level certifications (e.g., Solutions Architect Professional, Dev Ops Engineer Professional, Machine Learning Specialty) preferred
  • Hands‑on experience with deep learning (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

Amazon 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 include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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