Delivery Consultant - AIML, Professional Services

Amazon is hiring a Delivery Consultant - AIML, Professional Services in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI consultant role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include LangGraph, CrewAI and Bedrock.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

LangGraphCrewAIBedrockTensorFlowKerasSageMaker

prompt-engineeringragfine-tuningml-ops

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, you will design and build Machine Learning (ML), Deep Learning (DL), generative AI and agentic AI solutions that run on large volumes of enterprise data and solve a wide range of business problems.

The ideal candidate has hands-on experience building ML and DL models and agentic AI systems, including multi-agent orchestration, tool use and agent frameworks such as Amazon Bedrock AgentCore. You enjoy diving deep into data, analysing it, finding root causes and designing long-term solutions. You are customer obsessed, love to learn, and want to innovate.
You will work closely with AWS customers, partners and internal teams, learning from many enterprise use cases and building on Amazon's decades of AI innovation

Key job responsibilities
-Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .
-Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
-Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. *Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models.
-Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. *Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built.
-Assist internal customers with identifying model drift and retraining models.
-Research and implement novel ML and DL approaches, including using FPGA.
-Expertise in delivery Agentic and Generative AI solutions

About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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 qualifications

- 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.

How we rate this

Delivery Consultant - AIML, Professional Services at Amazon rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Delivery Consultant - AIML, Professional Services is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on November 11, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGFine-tuningML OpsLangGraphCrewAIBedrockTensorFlow

Also common in AI consultant jobs at this level

LangChain Azure Java SQL AI agents PyTorch

Pay

Typical AI consultant job: $151k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, Fine-tuning, ML Ops, and LangGraph. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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