AI Architect

Lorven Technologies Inc.; Foster City (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Lorven Technologies Inc. in Foster City, CA is seeking an AI Architect for a full-time role. The candidate will design, develop, and deploy advanced AI models aligned with business needs, with emphasis on production-grade NLP, LLMs, and speech AI systems.

The role involves collaborating with data engineers and software teams, evaluating model performance, and mentoring junior engineers, within an Agile environment.

Qualifications

• Bachelor's degree or higher in CS or related field.
• 6–10 years of 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
• 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.

Responsibilities

• 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

Skills

AI/ML Design

Python

PyTorch

TensorFlow

LLMs/NLP

Cloud AI

API Integration

Model evaluation

Agile/Scrum

Education

Bachelor's degree in CS or related field

Equivalent experience

Tools

AWS SageMaker

Azure ML

GCP AI

LangChain

LangGraph

A2A

MCP

Azure OpenAI

Container Apps/AKS

Job description

Our client seeks an AI Architect for a Full Time project in Foster City, CA .Below is the detailed requirement

Job Title: AI Architect

Work location : Foster City, CA

Duration: Full Time

Job Description:

• Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 15+ Minimum 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
• 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