Sr. AWS AI Engineer

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

Job summary

Cloudelligent is seeking a Sr. AWS AI Engineer to drive AI model development, deployment, and optimization on AWS. You will lead a team of AI engineers, work with cross-functional partners, and advance products through scalable AI solutions.

The role emphasizes AI/ML with AWS services, model evaluation, and responsible deployment in production environments. Strong Python and DL framework expertise is required.

Qualifications

• Degree in Computer Science, AI, or related field.
• 5+ years hands-on AI/ML with AWS services.
• Proficient Python; strong ML/DL framework knowledge.
• Experience leading AI/ML projects and teams.

Responsibilities

• Implement and fine-tune AI models for industry needs.
• Leverage AWS Bedrock, SageMaker, Rekognition, and OpenAI.
• Utilize AWS data services (Athena, Redshift, OpenSearch, Kendra, Glue).
• Reduce AI hallucination and improve model reliability.
• Apply RAG techniques and vector search with pgvector.
• Collaborate with cross-functional teams to integrate AI features.

Skills

Python

ML/DL

Team leadership

AWS AI services

TensorFlow

PyTorch

Keras

SageMaker

Bedrock

LangChain

Vector databases

Education

Bachelor’s or Master’s in CS/AI

Tools

AWS Bedrock

Amazon SageMaker

Amazon Rekognition

OpenAI integration

PostgreSQL pgvector

Job description

Position Title: Sr. AWS AI Engineer
Location: Islamabad
Timings: 8:00 am- 5:00 pm CST (US Central Time)

About Cloudelligent

Cloudelligent is Cloud-native consultancy and AWS Premier consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.

Job Objective

As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions.

Responsibilities

• Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.
• Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.
• Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.
• Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.
• Apply techniques to reduce AI hallucination and enhance model reliability.
• Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.
• Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.
• Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.
• Engage in prompt engineering to enhance model interaction and output quality.
• Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• 5+ years of hands‑on experience in AI/ML development with a strong focus on AWS‑based AI services.
• Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
• Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud‑based solutions.
• In‑depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.
• Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.
• Experience with vector databases and similarity search techniques for scalable AI solutions.
• Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end‑to‑end solutions.
• Expertise in data preprocessing, feature engineering, and model evaluation at scale.
• Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non‑technical stakeholders.

Good to Have

• Experience implementing or integrating Amazon Connect with AWS AI Services to deliver intelligent customer engagement solutions.
• Knowledge of big data technologies such as Apache Spark or Hadoop.
• Familiarity with data visualization tools and techniques.

Highly Desirable

• Relevant certifications (e.g., AWS Certified Generative AI Developer- Professional, AWS Certified Machine Learning – Associate, AWS Certified AI Practitioner).