Role & responsibilities

Roles and Responsibilities
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.
Technical Leadership
Lead cross-functional teams in developing AI-driven applications.
Mentor development teams on best practices in AI/ML technologies.
Stakeholder Collaboration
Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
Present technical solutions and recommendations to leadership teams.
Innovation and Research
Stay updated on advancements in AI/ML technologies, particularly Generative AI.
Drive innovation by experimenting with new tools and techniques.
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.
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.
Advantages:
Chance to work on cutting-edge AI projects.
Collaborative work setting with growth opportunities.

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