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Technical Architect – AI​/ML & LLM

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Lorven Technologies, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Technical Architect AI/ML, LLM

Location:

Santa Clara, CA 95054 (Onsite)

Full-Time

Overview

We are hiring a Technical Architect AI/ML strong-on experience in Large Language Models (LLMs) to design, build, and deploy production-grade AI solutions. This role focuses on advanced model development, cloud deployment, and responsible AI practices, working closely with engineering, data, and LLM Ops teams.

Key Responsibilities
  • Design, develop, and deploy advanced AI/ML and LLM-based models
  • Collaborate with data engineering, LLM Ops, and software teams on end-to-end AI solutions
  • Evaluate, fine-tune, and optimize models for performance, scalability, and reliability
  • Research emerging AI/ML technologies and recommend innovative approaches
  • Integrate AI models into applications using APIs and pipelines
  • Troubleshoot deployment and integration issues proactively
  • Mentor junior engineers and review models/code for best practices
  • Communicate complex AI concepts clearly to technical and non-technical stakeholders
  • Work in Agile/Scrum environments using tools such as Jira or Azure Dev Ops
Required Skills & Experience
  • 6-10 years of experience in AI/ML or Deep Learning
  • 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI
  • 3-5 years deploying AI models in production environments
  • Strong experience with Python, PyTorch, Tensor Flow, or similar frameworks
  • Experience designing, training, and fine-tuning AI or language models
  • Hands-on experience with cloud AI platforms (AWS Sage Maker, Azure ML, or Google Cloud Platform AI)
  • Experience integrating AI models via APIs or pipelines
  • Knowledge of model evaluation, bias detection, optimization, and Responsible AI
  • Strong mathematical and statistical foundation
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
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