AI Architect- design, implement, and optimize enterprise-grade AI solutions

Technogen, Inc.; Hyderabad; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Technogen, Inc. seeks an experienced AI Technical Architect to design and optimize enterprise-grade AI solutions. You will lead architectural decisions across teams, shape backend solutions in Node.js, and create cloud-native designs on AWS.

You will collaborate with product managers and data scientists to deliver end-to-end AI platforms, evaluate emerging AI frameworks, and guide engineering teams to high performance and security standards.

Qualifications

• 10+ years in software engineering with 3–4 years in AI/ML solution architecture.
• Proficiency in TensorFlow, PyTorch, Scikit-learn, Hugging Face or similar.
• Strong Node.js backend and RESTful API/microservices expertise.
• Hands-on AWS experience (SageMaker, Lambda, EC2, S3, CloudFormation).
• Ability to design scalable, secure, high-performance systems.
• Excellent communication and leadership abilities.

Responsibilities

• Architect AI solutions and design scalable AI/ML systems.
• Lead backend solution design and development using Node.js.
• Define and implement cloud-native architectures on AWS.
• Provide technical leadership across engineering teams.
• Evaluate emerging AI technologies and frameworks for adoption.
• Collaborate with product managers, data scientists, and DevOps.

Skills

AI/ML architecture

Backend development (Node.js)

Cloud architecture

Technical leadership

Collaboration

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Node.js

RESTful APIs

Microservices

Docker

Kubernetes

AWS (SageMaker, Lambda, EC2, S3, CloudFormation)

Job description

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: 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.