AI Application Architect

Job Title : AI LLM Architect Location : Santa Clara, CA 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