AI LLM Architect

Job Title: Sr AI (Azure) LLM Architect

Location: Fully remote

Overall 15+ Years of experience

Educational Qualification*

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field

Advanced coursework or certifications in machine learning, deep learning, or NLP

Strong mathematical and statistical foundation

Experience Range

6–10 years of experience in AI/ML/Deep Learning model development

2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems

3-5 years of experience deploying AI solutions in production environments

Primary (Must have skills)* - To be Screened by TA Team

5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks

3-5 years of experience designing, training, and fine-tuning large language models or AI models

5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, GCP AI)

2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization

5 years of experience in integrating AI models into applications via APIs or pipelines

Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)

Key technical skills :

Design, develop, and deploy advanced AI models to meet business requirements

Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions

Evaluate model performance, fine-tune, and ensure scalability and reliability

Research emerging AI/ML technologies and propose innovative solutions

Mentor junior AI engineers and review code/models for best practices

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Communication Skills:

Clearly explain AI concepts and model behavior to technical and non-technical stakeholders

Present complex model results in a concise and actionable manner

Interpersonal Skills:

Collaborate effectively with cross-functional teams

Provide constructive feedback and mentor junior team members

Problem-Solving and Analytical Thinking:

Identify bottlenecks in model performance and propose solutions

Troubleshoot deployment or integration challenges proactively

Analyze data patterns and model outputs to derive insights

Apply structured thinking to optimize AI workflows and pipelines

Task/ Work Updates

Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps

Provides regular updates, proactive and due diligent to carry out responsibilities

Expected Outcome

Secondary Skills to be planned Post Hiring - Training Plan

Advanced LLM techniques, prompt engineering, and fine-tuning strategies

AI ethics, fairness, and responsible AI deployment

Continuous learning on emerging AI frameworks and architectures