Delivery Consultant - AIML, Professional Services
Amazon Web Services
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This role on the market
2,526 open delivery roles across 232 companies are on ApplySarthi right now, most of them in Bengaluru (67), Delhi NCR (59), Hyderabad (43).
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- Product Delivery AssociateJPMorgan · mumbai
What delivery roles keep asking for: AWS (21%), Stakeholder management (17%), Agile (16%) — counted across their open postings here.
AWS jobs · CI/CD jobs · LLMs jobs · MLOps jobs
Amazon Web Services has 2,246 open roles listed here.
- Sr Solutions Architect, AWS Industries India - S&Tdelhi ncr
- Software Development Engineer, Billing Data Services, Billing Data Services
- Principal Business Developer - ISV, GenAI GTM Specialists, EMEA
- Sr GTM Specialist Database, EMEA GTM Specialist Data team
- Associate Delivery Consultant AI/ML, A2C ProServe Shared Delivery (SDT)
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, Stakeholder management, Agile. Practise those questions before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Delivery Consultant - AIML, Professional Services at Amazon Web Services interview free →We are looking for an AI Consultant to help the largest global enterprises get real business value from Artificial Intelligence on AWS, as part of AWS ProServe India LLP ("ProServe India"). In this role, Basic qualifications: - 8+ years of building machine learning models or developing algorithms for business application experience - Hands-on experience building agentic AI systems, including multi-agent orchestration, tool and API integration, memory and guardrails, using frameworks such as Amazon Bedrock AgentCore, Strands Agents, LangGraph or CrewAI . - Experience with AWS AI/ML services such as Amazon Bedrock, Amazon SageMaker and Amazon Connect, plus related data and analytics services . - Experience with prompt engineering, Retrieval-Augmented Generation (RAG), model fine-tuning and evaluating LLM-based applications . - Proficiency in Python and MLOps/LLMOps practices, including CI/CD, infrastructure as code and observability. Preferred: - Experience in customer-facing consulting roles, including turning business problems into technical solutions and presenting to technical and business stakeholders. - Experience working with and enabling partner delivery teams. - AWS certifications such as AWS Certified Machine Learning – Specialty, AWS Certified AI Practitioner or AWS Certified Solutions Architect . - Master's degree or PhD in Computer Science, Machine Learning, Statistics or a related field. 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 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.