AI Technical Architect

Solugenix • Artificial Intelligence • Cybersecurity • JavaScript • Node JS • ETL/ELT • 1 month ago
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Salary
≈ $31k – $74k per year (Estimated)
Location
In office (Hyderabad, Bengaluru)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 9, 2026.

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Solugenix

Solugenix is an IT consulting and services firm. The company is engaged in bespoke application development including websites, mobile apps, web applications, and software solutions.
solugenix.com • Bengaluru • Hyderabad • Indore • Denver • Cybersecurity • Artificial Intelligence • Professional Services • 1001-5000 employees • Est. 1969
Tech stack of Solugenix

Role : AI Technical Architect

Job Location : Hyderabad/Bengaluru

Experience : 8 - 10 years

Position Type : Hybrid-Fulltime

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 - 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.

Skills

AI Architecture, Technical Architect, Artificial Intelligence, Machine Learning, Tensorflow, PyTorch, Node.js, AWS, Microservices Architecture, Solution Architect, MLOps

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