AWS Gen AI

PwC; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 4,000,000 - 5,400,000; Full time

Job summary

PwC is seeking an experienced AI/ML engineer in Hyderabad to lead GenAI initiatives using AWS Bedrock and SageMaker. You will design end-to-end GenAI solutions, train and deploy models, and build robust RAG pipelines with vector stores while ensuring safety and compliance.

Ideal candidates have 5+ years in software/ML, deep knowledge of PyTorch/TensorFlow, and hands-on experience with LangChain and related orchestration tools.

Qualifications

• Bachelor's degree or higher in Computer Science, Data Science, AI/ML, or related field.
• 5+ years of software or ML engineering experience is expected.
• 3+ years hands-on with AWS AI/ML services (Bedrock, SageMaker).
• Strong ability to build GenAI applications using Bedrock and foundation models.
• Hands-on model training, fine-tuning, and deployment with SageMaker (JumpStart, HyperPod).
• Experience building RAG pipelines with Bedrock Knowledge Bases and vector stores.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with orchestration tools (LangChain, LlamaIndex, CrewAI, Strands Agents).
• Prompt engineering, optimization, and evaluation techniques.
• Understanding of LLM architectures, tokenization, and inference optimization.
• Experience configuring Bedrock Guardrails for content safety and compliance.
• Knowledge of data engineering for AI/ML (ETL, preprocessing, feature engineering).
• Strong communication skills to articulate technical decisions.

Skills

AWS Bedrock

SageMaker

Python

ML frameworks

PyTorch

TensorFlow

Hugging Face

LangChain

LlamaIndex

CrewAI

Strands Agents

Prompt engineering

LLM architectures

Bedrock Guardrails

ETL

Data preprocessing

Feature engineering

OpenSearch Serverless

Pinecone

Vector stores

Model training

Fine-tuning

Deployment

RAG pipelines

Knowledge Bases

Education

Bachelor's degree in Computer Science, Data Science, AI/ML, or related field

Tools

OpenSearch Serverless

Pinecone

SageMaker

Bedrock

Job description

• Bachelor's degree in Computer Science, Data Science, AI/ML, or related field.
• 5+ years of experience in software engineering or ML engineering.
• 3+ years of hands-on experience with AWS AI/ML services.
• Strong proficiency in building GenAI applications using Amazon Bedrock and foundation models.
• Hands-on experience with SageMaker for model training, fine-tuning, and deployment (JumpStart, HyperPod).
• Experience building RAG pipelines with Bedrock Knowledge Bases and vector stores (OpenSearch Serverless, Pinecone, or similar).
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with orchestration frameworks (LangChain, LlamaIndex, CrewAI, or Strands Agents).
• Experience with prompt engineering, optimization, and evaluation techniques.
• Understanding of LLM architectures, tokenization, and inference optimization.
• Experience configuring Bedrock Guardrails for content safety and compliance.
• Knowledge of data engineering for AI/ML (ETL, data preprocessing, feature engineering).
• Strong communication skills and ability to articulate technical decisions.