AWS Cognitive Engineer (Cloud & AI Developer)

Role Overview Our client, a leading technology-driven organization, is seeking an experienced AWS Cognitive Engineer to design and deliver cloud-native applications enhanced with artificial intelligence capabilities.

In this role, you will be responsible for developing scalable, secure, and intelligent solutions on AWS, working closely with cross-functional teams to translate business needs into technical implementations. You will also play a key role in optimizing application performance, enhancing AI models, and ensuring adherence to best practices in cloud and responsible AI.

Key Responsibilities

Act as a subject matter expert in AWS cloud services and AI/ML technologies

Partner with cross-functional teams to define architecture and drive key technical decisions

Design and implement AI-powered features using AWS AI/ML services

Build and deploy applications using serverless and microservices-based architectures

Promote best practices and support knowledge sharing within the team

Monitor application and model performance, and implement improvements for scalability and accuracy

Ensure solutions align with security, governance, and responsible AI standards

Contribute to project planning, timelines, and successful delivery of milestones

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Minimum of 3 years of hands-on experience working with AWS services

At least 1 year of experience in AI/ML projects or exposure to AWS AI services is preferred

Relevant AWS certifications (e.g., Solutions Architect or Machine Learning Specialty) are an advantage

Strong analytical thinking and problem-solving skills

Effective communication and collaboration abilities

Ability to lead technical discussions and support team development

Technical Skills

Strong expertise in core AWS services such as compute, storage, serverless, databases, and identity management

Solid understanding of cloud architecture and distributed systems

Experience working with AWS AI/ML services (e.g., model development, natural language processing, image recognition)

Familiarity with generative AI concepts and prompt engineering techniques

Knowledge of MLOps practices, including model deployment and monitoring

Experience with serverless frameworks and container technologies (e.g., Docker, Kubernetes)

Proficiency in Python or similar programming languages for AI and backend development

Understanding of security best practices in cloud and AI environments

Originally posted on Himalayas