AI Solution Architect

Why a career in Zuci is unique!

Constant attention is the source of our perfection.

We fundamentally believe that building a career is all about consistency. If you jog or walk for a few days, it won’t bring in big results. If you do the right things every day for hundreds of days, you'll become lighter, more flexible, and you'll start enjoying your work and life more.

Our customers trust us because of our unwavering consistency. Enabling us to deliver high-quality work and thereby give our customers and Team Zuci the best shot at extraordinary outcomes.

Do you see the big picture?

Is Digital Engineering your forte?

Position Title: AI Solution Architect

Location: Chennai or Bangalore, India

Employment Type: Full-Time

Experience Required: 12+ years overall experience, including 4+ years in AI technologies and Generative AI.

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.

2. Technical Leadership

- Lead cross-functional teams in developing AI-driven applications.

- Mentor development teams on best practices in AI/ML technologies.

3. Stakeholder Collaboration

- Collaborate with business stakeholders to gather requirements and translate them into technical specifications.

- Present technical solutions and recommendations to leadership teams.

4. Innovation and Research

- Stay updated on advancements in AI/ML technologies, particularly Generative AI.

- Drive innovation by experimenting with new tools and techniques.

5. 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.

6. 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 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.

• 
  Experience:

- Minimum of 12 years in IT roles, with at least 4 years focused on AI/ML technologies.

- Hands-on experience in deploying Large Language Models (LLMs) at scale.

• 
  Education:

- Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.

• 
  Certifications:

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

Key Skills

• 
  Generative AI (GPT models, LLMs)
• 
  Machine Learning and Deep Learning
• 
  Cloud Computing (Azure/GCP)
• 
  MLOps and Model Optimization
• 
  Stakeholder Management
• 
  Project Leadership

Benefits

• 
  Opportunity to work on cutting-edge AI projects.
• 
  Collaborative work environment with growth opportunities.
• 
  Competitive salary package aligned with market standards.