Solugenix - AI Technical Architect
Solugenix India Private Limited
Role : AI Technical ArchitectJob Location : Hyderabad/BengaluruExperience : 8 - 10 yearsPosition Type : Hybrid-FulltimeWe 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 - 10 years in software engineering, with at least 3 - 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. (ref:hirist.tech)
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