Agentic AI-Sr Architect role

Job Title: Agentic AI-Sr Architect role

Location: Santa Clara, CA (Onsite Work) Looking Only Local Candidates

Duration: Full time Permanent role

·       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, speech/voice AI systems, Realtime voice pipeline

·       5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, Google Cloud Platform AI)

·       2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration

·       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

·       2-3 years’ experience in Azure services — Azure AI Speech and Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights.

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

·       LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection.