Role: Agentic AI-Sr Architect

Location: Santa Clara, CA

Duration: Full-time

Role Overview

We are seeking an experienced Agentic AI Senior Architect to design, develop, and deploy production-grade AI/LLM solutions. The ideal candidate will have strong hands-on experience with LLMs, Agentic AI, speech/voice AI, cloud AI platforms, and Azure services, along with the ability to lead technical teams and drive AI architecture.

Required Qualifications

• Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or related field.
• 6 10 years of AI/ML/Deep Learning experience.
• 2 3 years of hands-on experience with LLMs, NLP, Speech/Voice AI, or real-time voice pipelines.
• 3 5 years deploying AI solutions in production.
• 5+ years with Python, PyTorch, TensorFlow, or similar frameworks.
• 3 5 years designing, training, and fine-tuning AI/LLM or speech/voice models.
• 5 years of experience with AWS SageMaker, Azure ML, or GCP AI.
• 2+ years with Agentic AI frameworks such as LangChain, LangGraph, MCP, A2A, and multi-agent orchestration.
• Experience with model evaluation, optimization, bias detection, and performance tuning.
• Strong experience integrating AI models into applications through APIs and pipelines.
• 2 3 years of experience with Azure AI services, including Azure OpenAI, Azure AI Speech, Translator, AI Search, AKS/Container Apps, API Management, Event Hubs, Key Vault, and Application Insights.

Key Responsibilities

• Design, develop, and deploy scalable AI/LLM and Agentic AI solutions.
• Build and optimize multi-agent and real-time voice AI pipelines.
• Evaluate, fine-tune, and improve model performance, reliability, and scalability.
• Collaborate with Data Engineering, Software Engineering, and LLMOps teams.
• Troubleshoot AI deployment and integration challenges.
• Research emerging AI technologies and recommend innovative solutions.
• Mentor junior AI engineers and review code, models, and architectures.
• Communicate AI concepts and technical findings to technical and non-technical stakeholders.
• Work in Agile/Scrum environments using tools such as Jira or Azure DevOps.

Preferred / Future Skills

• Advanced LLM techniques, prompt engineering, and fine-tuning.
• Responsible AI, ethics, fairness, and bias mitigation.
• LLMOps, including model evaluation, tracing, CI regression testing, cost telemetry, model routing, and drift detection.
• Evaluation metrics such as WER, Entity F1, and COMET.

Desired Skills and Experience

Python, Machine Learning, PyTorch, C-language, NLP, AI/ML, Deep Learning, Langchain, Langgraph, prompt engineering, LLM, AKS, MLOps, TensorFlow, MCP, Agentic AI, Generative AI, Azure OpenAI, Azure AI Search, Application Insights, Azure AI, Azure Key Vault, Multi-Agent Systems, Multi-Agent Orchestration, Model Evaluation, Conversational AI, AI Architecture, Large Language Models, Speech AI, Voice AI, Real-Time Voice AI, A2A, LLM Fine-Tuning, Model Training, Model Optimization, Azure AI Speech, Azure AI Translator, Azure Machine Learning, Azure Container Apps, Azure API Management, Azure Event Hubs, AWS SageMaker, GCP AI, AI APIs, AI Pipelines, AI Model Deployment, Production AI

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