ARK Infotech Spectrum
ARK Infotech Spectrum

Generative AI Architect

Plano, TX, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
Contract Independent
1 Year
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API
  • Artificial Intelligence
  • Good Clinical Practice
  • Google Cloud
  • Google Cloud Platform
  • LlamaIndex
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Scalability
  • Microsoft Azure
  • PySpark
  • PyTorch
  • Python
  • SQL
  • Information Security Governance
  • Lifecycle Management
  • POC
  • Distributed Computing
  • Generative Artificial Intelligence (AI)
  • Vector Databases
  • Software Design
  • Software Engineering
  • TensorFlow
  • Cloud Architecture
  • Cloud Computing
  • Data Science
  • LangChain
  • Workflow
  • Autogen

Summary

Role: Generative AI Architect

Location: Plano, TX (Onsite)

 

We are looking for an experienced and hands-on Generative AI (GenAI) Architect to design and implement enterprise-scale AI solutions. The ideal candidate will have strong experience with LLMs, Agentic AI, RAG, MLOps/LLMOps, cloud architecture, and enterprise production deployments.

The candidate must have proven experience taking GenAI solutions from prototype/POC to scalable enterprise production environments.

Key Responsibilities

·        Architect and implement end-to-end Generative AI and Agentic AI solutions.

·        Design enterprise-grade solutions using LLMs, RAG, multi-agent workflows, and vector databases.

·        Build scalable AI architectures on Microsoft Azure or Google Cloud Platform (Google Cloud Platform).

·        Lead GenAI solutions from POC/prototype through production deployment.

·        Integrate GenAI solutions with enterprise applications, APIs, data platforms, and cloud services.

·        Establish MLOps/LLMOps practices for deployment, monitoring, and lifecycle management.

·        Design solutions considering enterprise security, scalability, governance, reliability, and integration requirements.

Must-Have Skills

·        8–10+ years of experience in Software Engineering, Data Science, Machine Learning, or AI.

·        3+ years of experience as a Solution Architect/System Architect.

·        Strong enterprise-level experience architecting and deploying GenAI solutions in large-scale production environments.

·        Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI/Multi-Agent architectures.

·        Strong programming experience in Python.

·        Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.

·        Strong cloud architecture experience with Microsoft Azure or Google Cloud Platform.

·        Hands-on experience with vector databases such as Pinecone, Milvus, Qdrant, or PGVector.

·        Strong understanding of MLOps/LLMOps, model deployment, monitoring, and productionization.

·        Experience with SQL, PySpark, distributed computing, and API design.

·        Experience with PyTorch or TensorFlow.

·         

Preferred Skills

·        Experience designing and implementing multi-agent AI ecosystems.

·        Strong knowledge of enterprise AI security, governance, scalability, and integration patterns.

·         Experience integrating GenAI/LLM solutions with existing enterprise applications and data platforms.

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: 90970970
  • Position Id: 9132164
  • Posted 12 hours ago
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Shaik Saleem

Shaik Saleem

Recruiter @ ARK Infotech Spectrum

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