Job Title: AI (Azure) LLM Architect
Location: Santa Clara, CA (Onsite)
Duration: FTE/C2C
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, Google Cloud Platform 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
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