AI Architect

Vidorra Consulting Group; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Vidorra Consulting Group is seeking an AI Architect in San Jose to design, develop, and deploy advanced AI models. You will evaluate performance, fine-tune for scalability, and work with data engineers and software teams to deliver end-to-end AI solutions.

The role requires 6–10 years in AI/ML model development, 2–3 years with LLMs, and strong Python/PyTorch/TensorFlow expertise. A CS/AI/DS degree and solid math foundation are essential.

Qualifications

• 6–10 years of AI/ML/Deep Learning model development experience.
• 5 years of experience with Cloud AI platforms (SageMaker/Azure ML/GCP AI).
• 2–3 years hands-on with LLMs, NLP, or speech/voice AI in production.
• 3–5 years designing, training, and fine-tuning LLMs or AI models including Speech/Voice AI.
• 2+ years in Agentic AI frameworks like LangChain and LangGraph.
• 2–3 years familiarity with evaluation metrics, bias detection, and optimization.
• 5 years integrating AI models into applications via APIs or pipelines.
• 3+ years Python, PyTorch, TensorFlow, or similar frameworks.
• Azure services experience including Azure AI Speech & Translator, OpenAI, AI Search, containers/AKS, API Management.
• Bachelor's or Master's in CS/AI/DS; strong math/stats foundation.

Responsibilities

• Design, develop, and deploy advanced AI models to meet business needs.
• Evaluate model performance, fine-tune, ensure scalability and reliability.
• Explain AI concepts clearly to technical and non-technical stakeholders.
• Mentor junior AI engineers and review code/models for best practices.
• Identify bottlenecks; troubleshoot deployment and integration challenges.
• Analyze data patterns and model outputs to derive actionable insights.
• Present results concisely; collaborate with cross-functional teams.
• Provide feedback and mentoring; contribute to Agile/Scrum projects.
• Deliver regular updates and maintain diligence in responsibilities.

Skills

AI/ML model development

Cloud AI platforms

LLMs & NLP

Production deployment

LLM design & fine-tuning

Speech/Voice AI

Realtime voice pipeline

Agentic AI frameworks

Model evaluation & bias

API integration

Python & ML frameworks

Azure AI services

Mathematics & statistics

LLMOps & evaluation metrics

Prompt engineering

Education

Bachelor's or Master's in CS/AI/DS

Tools

Azure AI services tools

Container Apps/AKS

API Management

Event Hubs

Key Vault

Application Insights

Job description

• 6 10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML / GCP AI)
• 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI systems and deploying AI solutions in production environments
• 3-5 years of experience designing, training, and fine-tuning LLMs or AI models, Speech/Voice AI systems, Realtime voice pipeline
• 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
• 3+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
• 2-3 years in Azure services Azure AI Speech & Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights
• Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or related field
• Strong mathematical and statistical foundation; Preferred - Advanced coursework or certifications in ML, DL, or NLP
• Secondary / Preferred Skills Advanced LLM techniques, prompt engineering, and fine-tuning strategies; Continuous learning on emerging AI frameworks and architectures; AI ethics, fairness, and responsible AI deployment; LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection.

AI Architect

Full-Time / Direct Hire

San Jose, CA 95138

Skills/Experience

• 6 10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML / GCP AI)
• 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI systems and deploying AI solutions in production environments
• 3-5 years of experience designing, training, and fine-tuning LLMs or AI models, Speech/Voice AI systems, Realtime voice pipeline
• 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
• 3+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
• 2-3 years in Azure services Azure AI Speech & Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights
• Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or related field
• Strong mathematical and statistical foundation; Preferred - Advanced coursework or certifications in ML, DL, or NLP
• Secondary / Preferred Skills Advanced LLM techniques, prompt engineering, and fine-tuning strategies; Continuous learning on emerging AI frameworks and architectures; AI ethics, fairness, and responsible AI deployment; LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection.

Role / Job Description

• Design, develop, and deploy advanced AI models to meet business requirements; Research emerging AI/ML technologies and propose innovative solutions
• Evaluate model performance, fine-tune, and ensure scalability and reliability; Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
• Clearly explain AI concepts and model behavior to technical and non-technical stakeholders; Mentor junior AI engineers and review code/models for best practices
• 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
• Present complex model results in a concise and actionable manner; Collaborate effectively with cross-functional teams
• Provide constructive feedback and mentor junior team members; Problem-Solving and Analytical Thinking
• Experience in Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
• Provides regular updates, proactive and due diligent to carry out responsibilities