AI Solutions Engineer Job Vacancy in Damanhour, Egypt – Artificial Intelligence

Job Description

Position: AI Solutions Engineer

Company: Amazon Web Services (AWS)

Location: Damanhour, Egypt

Experience: 3-5 years

Education: Bachelor’s degree in Computer Science, Engineering, or related field

Employment Type: Full-time

Industry: Artificial Intelligence

Department: AI Solutions

Salary: SSP 180,000 – 240,000 per annum

Vacancies:1

Company Overview

Amazon Web Services (AWS) is a global leader in cloud computing, providing a broad set of on‑demand services such as compute power, storage, and advanced analytics to millions of customers worldwide. In Egypt, AWS has established a robust ecosystem of partners, startups, and enterprises, fostering digital transformation across sectors like finance, healthcare, education, and manufacturing. AWS’s commitment to innovation, security, and sustainability makes it an attractive employer for technology professionals seeking to shape the future of artificial intelligence. As part of its expansion strategy, AWS is investing in regional data centers and talent hubs, creating a vibrant environment for AI specialists to develop cutting‑edge solutions that drive business value and societal impact. This role offers a unique opportunity to join a world‑class team, contribute to high‑impact projects, and be part of the growing AI community in Egypt.

Job Overview

The AI Solutions Engineer will design, develop, and deploy intelligent applications that leverage AWS AI services such as Amazon SageMaker, Rekognition, Comprehend, and Lex. Working closely with data scientists, product managers, and customers, you will translate business requirements into scalable AI architectures, ensure model performance, and optimize cost efficiency. This position plays a pivotal role in AWS’s mission to democratize AI technology, enabling organizations across Egypt to harness the power of machine learning for automation, predictive analytics, and enhanced user experiences. The role is ideal for professionals passionate about AI, cloud platforms, and delivering tangible business outcomes. By joining AWS, you will contribute to a portfolio of projects that are featured in industry conferences, whitepapers, and case studies, reinforcing AWS’s reputation as a leader in AI innovation. This is a prime example of Egypt Jobs that combine technical excellence with strategic impact, offering a clear pathway for career growth and professional development.

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Key Responsibilities

• Architect end‑to‑end AI solutions using AWS services, ensuring scalability, security, and compliance.
• Collaborate with data scientists to operationalize machine‑learning models into production environments.
• Develop custom APIs and integration pipelines that connect AI models with client applications.
• Perform performance tuning, cost optimization, and monitoring of AI workloads.
• Provide technical guidance and best‑practice recommendations to customers and internal teams.
• Participate in proof‑of‑concept projects, workshops, and technical webinars for clients in Egypt.
• Document solution designs, implementation steps, and knowledge‑base articles for internal use.

Required Skills

• Proficiency with AWS AI/ML services (SageMaker, Rekognition, Comprehend, Lex, Polly).
• Strong programming skills in Python, Java, or C++ and experience with ML libraries (TensorFlow, PyTorch).
• Understanding of data engineering concepts, including ETL, data lakes, and streaming.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Excellent problem‑solving abilities and a customer‑centric mindset.
• Effective communication skills in English; Arabic is a plus.

Education

A bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related discipline is required. Advanced degrees (M.Sc. or Ph.D.) in AI or Machine Learning are highly desirable and can strengthen your application.

Experience

Applicants should have 3‑5 years of hands‑on experience building and deploying AI solutions on cloud platforms, preferably AWS. Prior experience in consulting or client‑facing roles is advantageous, as the position involves frequent interaction with diverse stakeholders.

Salary

The compensation package ranges from SSP 180,000 to SSP 240,000 annually, commensurate with experience and expertise. In addition to base salary, AWS offers performance‑based bonuses, stock grants, and a comprehensive benefits suite.

Benefits

• Health, dental, and vision insurance for you and your dependents.
• Generous paid time off and flexible working arrangements.
• Retirement savings plan with company matching contributions.
• Employee assistance program and wellness initiatives.
• Access to AWS training credits, certifications, and continuous learning resources.

Training

• Onboarding program covering AWS services, security, and compliance.
• Mentorship from senior AI architects and data scientists.
• Opportunities to attend AWS re:Invent, regional AI summits, and industry workshops.
• Support for obtaining AWS Certified Machine Learning – Specialty certification.

Working Environment

AWS fosters an inclusive, collaborative, and innovative workplace where diverse perspectives are valued. Our Damanhour office features modern workspaces, high‑speed connectivity, and access to state‑of‑the‑art labs for AI experimentation. Employees enjoy a culture of continuous improvement, open communication, and recognition of achievements.

Application Process

Interested candidates should submit an online application through the AWS Careers portal, attaching an updated resume and a cover letter highlighting relevant AI projects. Selected applicants will undergo a technical assessment, followed by virtual interviews with the hiring manager and senior engineers. Successful candidates will receive an offer within two weeks of the final interview.

Equal Opportunity Statement

AWS is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, age, disability, or veteran status. Our hiring practices reflect our dedication to fairness and respect, ensuring that every applicant receives a fair evaluation based on merit and potential.