Role & responsibilities

Roles and Responsibilities

1. Solution Design and Architecture

- Architect and design scalable AI solutions that align with business objectives.
- Implement Generative AI models using frameworks like OpenAI, LangChain, TensorFlow, and PyTorch.
- Optimize AI models for performance, scalability, and reliability.

1. Technical Leadership

- Lead cross-functional teams in developing AI-driven applications.
- Mentor development teams on best practices in AI/ML technologies.

1. Stakeholder Collaboration

- Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
- Present technical solutions and recommendations to leadership teams.

1. Innovation and Research

- Stay updated on advancements in AI/ML technologies, particularly Generative AI.
- Drive innovation by experimenting with recent tools and techniques.

1. Project Management

- Oversee the end-to-end lifecycle of AI projects,



ensuring timely delivery and quality standards.
- Develop detailed documentation for AI solutions, including architecture diagrams and user manuals.

1. MLOps Implementation

- Deploy AI solutions on cloud platforms (Azure/GCP) with best practices for MLOps.
- Monitor models for continuous improvement and ensure ethical use of AI.

Qualifications

- Technical Expertise:
- Proficiency in Generative/Agentic AI frameworks (e.g., OpenAI GPT, LangChain, Hugging Face).
- Strong programming skills in Python, TensorFlow, PyTorch.
- Experience with cloud platforms like Azure or Google Cloud for model deployment.

- Certifications:
- Relevant certifications in AI/ML or Solution Architecture are preferred.

- Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative work environment with growth opportunities.

📌 AI Architect (Chennai)
🏢 Zuci Systems India
📍 Chennai