AI Technical Architect

Solugenix

Hyderabad, Bengaluru

Hybrid

INR 3,500,000 - 7,500,000

Full time

14 days+
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Job summary

Solugenix is seeking an experienced AI Technical Architect to design, implement, and optimize enterprise-grade AI solutions. The role requires leadership across teams, strong AI/ML framework expertise, and cloud integration with AWS.

The candidate will drive architectural decisions, guide engineering practices, and collaborate with product managers, data scientists, and DevOps to deliver end-to-end AI solutions. Based in Hyderabad/Bengaluru/Indore with hybrid work options.

Qualifications

  • 8+ years of software engineering experience.
  • At least 3-4 years in AI/ML solution architecture.
  • Hands-on backend development with Node.js.

Responsibilities

  • Architect AI Solutions: design scalable AI/ML systems.
  • Backend Development: lead backend solution design using Node.js.

Skills

AI/ML Frameworks
Backend Node.js
Cloud AWS
Architecture & Design
Soft Skills
MLOps
Data Engineering
Containerization
Security Best Practices

Education

BE/ BTech / BSC /MCA

Tools

Docker
Kubernetes
CI/CD

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 it means having a dedicated ally focused on your success in today's fast-evolving digital world.

Role: AI Technical Architect
Experience: 8+ years
Location: Hyderabad / Bengaluru /Indore

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 & Expertise
  • 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 (Sageker, Lambda, EC2, S3, CloudFormation).
  • Architecture & Design: Proven ability to design scalable, secure, and high-performance systems.
  • Experience: 810 years in software engineering, with at least 34 years in AI/ML solution architecture.
  • Soft Skills: Strong communication, leadership, and problem-solving abilities.
  • 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.
Education:
  • BE/ BTech / BSC /MCA
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