AI Architect

Robotics Prcocess Automation, LLC

California, Northern (MO, KY)

Hybrid

USD 150,000 - 190,000

Full time

11 days ago
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Job summary

ROBOTIC PROCESS AUTOMATION LLC is seeking an AI Architect to design and deploy large-scale AI systems with a focus on generative AI. The role requires deep expertise in transformer architectures, tokenization, and pretraining/fine-tuning, plus hands-on work with PyTorch, TensorFlow, and LangChain.

You will work on scalable MLOps-driven architectures on premises in Pleasonton, CA, collaborating with teams to deliver cutting-edge AI solutions and responsible AI practices.

Qualifications

  • Bachelor’s or Master’s degree in CS, AI or ML.
  • 7+ years of AI/ML experience, 3+ years in generative AI.
  • Proven experience designing and deploying large-scale AI systems.
  • Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning.
  • Hands-on with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
  • Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure) and scalable architectures.
  • Experience with vector databases (Pinecone, Weaviate, FAISS) and RAG systems.
  • Familiarity with responsible AI frameworks and privacy-preserving techniques.

Skills

AI system design
Generative AI
Transformer architectures
MLOps
Cloud platforms
Retrieval augmented generation
Responsible AI

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning

Tools

PyTorch
TensorFlow
Hugging Face Transformers
LangChain
Pinecone
Weaviate
FAISS
AWS
GCP
Azure

Job description

Role: AI Architect
Location: Pleasonton, CA Onsite

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning
  • 7+ years of experience in AI / ML , with 3+ years in generative AI (LLMs, diffusion models, etc.).
  • Proven experience designing and deploying large-scale AI systems.
  • Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms.
  • Hands-on experience with AI / ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
  • Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless).
  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems.
  • Familiarity with responsible AI frameworks and privacy-preserving techniques.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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