Senior AWS AI Engineer: Lead AI Solutions on SageMaker & Bedrock

Cloudelligent; Lahore; On-site; PKR 1,800,000 - 3,600,000; Full time

Job summary

Cloudelligent is seeking a Sr. AWS AI Engineer in Lahore to drive development and deployment of AI models.

You will implement and optimize AI solutions, leveraging AWS Bedrock, SageMaker and OpenAI, while collaborating with cross-functional teams to embed AI capabilities into products. The role requires 5+ years of hands-on AI/ML work, strong Python and ML framework expertise, and experience with AWS data services.

Qualifications

• 5+ years hands-on AI/ML development experience with a focus on AWS AI services.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Keras).
• Experience with AWS Bedrock, SageMaker and integrating OpenAI in cloud-based solutions.
• Expertise in AWS data services (Athena, Redshift, Glue) for AI/ML pipelines.
• Knowledge of vector databases and similarity search (pgvector).
• Experience leading AI/ML projects and mentoring engineers.

Responsibilities

• Implement and fine-tune pre-trained AI models for industry needs.
• Leverage AWS Bedrock, SageMaker, Rekognition and OpenAI for deployment.
• Use AWS data services (Athena, Redshift, OpenSearch, Kendra, Glue) for data processing.
• Lead AI/ML projects and guide team growth and delivery.
• Apply RAG techniques and reduce AI hallucination for reliability.
• Collaborate with cross-functional teams to integrate AI into products.

Skills

Python

TensorFlow

PyTorch

Keras

AWS SageMaker

AWS Bedrock

OpenAI integration

AWS data services

Amazon Athena

Amazon Redshift

AWS Glue

PostgreSQL pgvector

Vector databases

Transformers

CNNs / RNNs

Feature engineering

Model evaluation

Team leadership

LangChain

LangGraph

CrewAI

RAG techniques

Education

Bachelor’s or Master’s degree in Computer Science, AI, ML

Tools

Azure OpenAI

Job description

Cloudelligent is seeking a Sr. AWS AI Engineer in Lahore to drive development and deployment of AI models.

You will implement and optimize AI solutions, leveraging AWS Bedrock, SageMaker and OpenAI, while collaborating with cross-functional teams to embed AI capabilities into products. The role requires 5+ years of hands-on AI/ML work, strong Python and ML framework expertise, and experience with AWS data services.