AI Technical Architect

Solugenix; Hyderabad; Hybrid; INR 3,000,000 - 5,500,000; Full time

Job summary

Solugenix is seeking an experienced AI Technical Architect to design, implement, and optimize enterprise-grade AI solutions. The role requires hands-on expertise in AI frameworks, backend development with Node.js, and AWS cloud architectures, with leadership across teams.

The ideal candidate will guide engineering, data scientists, and DevOps to deliver scalable AI systems, evaluate emerging technologies, and drive architectural strategy across projects.

Qualifications

• 8–10 years in software engineering with 3–4 years in AI/ML solution architecture.
• Proficient with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face.
• Strong backend design with Node.js, RESTful APIs and microservices.

Responsibilities

• Architect scalable AI/ML systems using modern frameworks.
• Lead backend design and development with Node.js for performance and security.
• Define cloud-native architectures on AWS including compute, storage, and AI/ML services.
• Provide technical leadership across engineering teams.
• Evaluate emerging AI technologies and suggest adoption strategies.
• Collaborate with product managers, data scientists and DevOps to deliver end-to-end AI solutions.

Skills

AI/ML solution architecture

Leadership & collaboration

Technical communication

Tools

Node.js

RESTful APIs

Microservices

TensorFlow

PyTorch

Scikit-learn

Hugging Face

SageMaker

Lambda

EC2

S3

CloudFormation

Docker

Kubernetes

Job description

Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance providing clients with reliability and a strong competitive edge.

Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business means having a dedicated our financial client focused on your success in today's fast-evolving digital world.

Role: AI Technical Architect

Experience: 8 to 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.