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GenAI Architect -/ OPT / L2S / / USC

Remote • Posted 21 hours ago • Updated 21 hours ago

Contract Independent

Contract W2

18 Months

No Travel Required

Remote

Depends on Experience

Fitment

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Job Details

Skills

python

Summary

Job Title: GenAI Architect

Job Type: Contract
Experience: 12+ Years
Location: Remote

Job Description

We are looking for an experienced GenAI Architect to design and implement scalable Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies.

Key Responsibilities

Design and develop enterprise-level Generative AI architectures and solutions.
Build and implement LLM-powered applications using OpenAI, Azure OpenAI, or AWS Bedrock.
Architect and develop RAG pipelines, semantic search, and knowledge retrieval systems.
Design Agentic AI workflows and multi-agent architectures.
Develop AI solutions using Python, LangChain, LangGraph, and LlamaIndex.
Integrate LLMs with enterprise applications, APIs, and databases.
Implement vector databases and embedding models for efficient information retrieval.
Optimize LLM performance, scalability, security, and cost.
Establish AI governance, responsible AI practices, and security standards.
Collaborate with engineering, data science, and business teams to deliver AI solutions.

Required Skills

Strong experience in Generative AI, LLMs, and AI architecture.
Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Gemini.
Strong expertise in RAG architecture and implementation.
Experience with Agentic AI, Multi-Agent Systems, and AI orchestration.
Proficiency in Python programming and REST APIs.
Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Knowledge of Docker, Kubernetes, CI/CD, and MLOps/LLMOps.
Strong system design, architecture, and technical leadership skills.

Preferred Qualifications

Experience implementing enterprise-scale GenAI applications.
Knowledge of prompt engineering, model fine-tuning, and embedding techniques.
Experience with AI security, guardrails, and model monitoring.
Strong communication and stakeholder management skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91140385
Position Id: 9140034
Posted 21 hours ago

Contact the job poster

Bhaskar Manikandan

Manager @ Radiantze

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