AI Technical Architect

Architect

AI Technical Architect

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  • Date posted
    May 26, 2026
  • Expiration date
    August 26, 2026
  • Application ends
    August 26, 2026

We are seeking an experienced AI Technical Architect to design, implement, and optimize enterprise-grade AI solutions. The ideal candidate will have a strong background in AI frameworks, backend development (Node.js), and cloud architecture (AWS). This role requires both hands-on technical expertise and the ability to provide architectural leadership across teams.

Key Responsibilities :

 

 

– Architect AI Solutions : Design scalable AI/ML systems leveraging modern frameworks (TensorFlow, PyTorch, Hugging Face, etc.).

– Backend Development : Lead backend solution design and development using Node.js, ensuring performance, security, and maintainability.

– Cloud Integration : Define and implement cloud-native architectures on AWS, including compute, storage, and AI/ML services.

– Technical Leadership : Guide engineering teams on best practices, code reviews, and architectural decisions.

– Innovation & Strategy : Evaluate emerging AI technologies and frameworks to recommend adoption strategies.

– Collaboration : Work closely with product managers, data scientists, and DevOps teams to deliver end-to-end AI solutions

Required Skills :

 

 

– Experience : 8 to 10 years in software engineering, with at least 3 to 4 years in AI/ML solution architecture.

– AI/ML Frameworks : Proficiency in TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar.

– Backend Development : Strong expertise in Node.js, RESTful APIs, and microservices architecture.

– Cloud Awareness : Hands-on experience with AWS services (SageMaker, Lambda, EC2, S3, CloudFormation).

– Architecture & Design : Proven ability to design scalable, secure, and high-performance systems.

Desired Skills :

 

 

– Exposure to MLOps practices (CI/CD for ML, model deployment pipelines).

– Knowledge of data engineering concepts (ETL, data lakes, streaming).

– Experience with containerization (Docker, Kubernetes).

– Familiarity with security best practices in AI and cloud environments

– Soft Skills : Strong communication, leadership, and problem-solving abilities.

Are you interested in this position?

 

Apply by clicking on the “Apply Now” button below!

 

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