ApplySarthi

Associate Delivery Consultant, - AIML, Professional Services A2C Delivery, AWS ProServe A2C - VAR

Amazon Web Services

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This role on the market

2,170 open delivery roles across 187 companies are on ApplySarthi right now, most of them in Bengaluru (61), Delhi NCR (59), Hyderabad (43).

What delivery roles keep asking for: AWS (20%), Agile (15%), Stakeholder management (14%) — counted across their open postings here.

AWS jobs · C# jobs · C++ jobs · CI/CD jobs

Amazon Web Services has 2,334 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for delivery roles keep coming back to AWS, Agile, Stakeholder management. Practise those questions before you sit with Amazon Web Services.

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

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Practise the Associate Delivery Consultant, - AIML, Professional Services A2C Delivery, AWS ProServe A2C - VAR at Amazon Web Services interview free →

The Amazon Web Services Professional Services (ProServe) 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 Basic qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - 5+ years in software development, cloud architecture or technology consulting - Working knowledge of AI/ML fundamentals — model types, training, inference and evaluation - Basic ML certification (AWS Certified Machine Learning Specialty or equivalent) - Experience in cloud architecture design and implementation Preferred: - Experience with software development life cycle (sdlc) and agile/iterative methodologies - AWS experience with proficiency across services such as Lambda, ECS/EKS, API Gateway, EC2, S3, and RDS - Experience delivering AI/ML solutions on Amazon SageMaker — training, deployment, and inference pipelines - Hands-on experience with Amazon Bedrock: RAG architectures, prompt engineering, and agentic workflows - Experience implementing CI/CD pipelines, DevSecOps tooling, and infrastructure-as-code (CloudFormation / Terraform) for ML or application workloads - Experience with containers (Docker/Kubernetes), serverless, or microservices architectures - Experience communicating technical concepts to a non-technical audience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Listed on amazon · posted 2026-10-08. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.