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W Only Need Ai Integration Application

  • W Only Need Ai Integration Application job type Posted on: Nov 12, 2026
  • W Only Need Ai Integration Application experience level ReqRoute Inc
  • W Only Need Ai Integration Application employment type Phoenix, Arizona
  • W Only Need Ai Integration Application employment type Onsite
  • W Only Need Ai Integration Application salary Full-time

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Job Title :

W Only Need Ai Integration Application

Job Type :

Full-Time

Job Location :

Phoenix Arizona United States

Remote :

No

Jobcon Logo Job Description :

AI - Integration Application Architect

Location: Phoenix, AZ (Onsite)

(W2)

Experience: 8 12 years

Shift: Day

Job Summary:

  • Design how AI models plug into our core systems and applications
  • Integrate LLMs and AI frameworks using tools like LangChain or Semantic Kernel
  • Build RAG pipelines and work with vector databases where needed
  • Set up APIs and microservices to connect AI into the broader tech stack
  • Evaluate AI platforms for cost, performance, and compliance fit
  • Handle data privacy, model risk, and monitoring for anything in production
  • Work closely with data science, engineering, and infrastructure teams

Responsibilities:

  • 8+ years in application/solution architecture, 3+ in AI/ML integration
  • Hands on experience with LangChain, Hugging Face, TensorFlow, or similar
  • Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock
  • Strong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS)
  • Solid background in APIs, microservices, event driven architecture
  • Comfortable in AWS
  • Strong coding skills in Python, Java
  • Understanding of MLOps/LLMOps

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

9886-5611

Employment:

Full-time

City:

Phoenix

Job Origin:

CIEPAL_ORGANIC_FEED

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AI - Integration Application Architect

Location: Phoenix, AZ (Onsite)

(W2)

Experience: 8 12 years

Shift: Day

Job Summary:

  • Design how AI models plug into our core systems and applications
  • Integrate LLMs and AI frameworks using tools like LangChain or Semantic Kernel
  • Build RAG pipelines and work with vector databases where needed
  • Set up APIs and microservices to connect AI into the broader tech stack
  • Evaluate AI platforms for cost, performance, and compliance fit
  • Handle data privacy, model risk, and monitoring for anything in production
  • Work closely with data science, engineering, and infrastructure teams

Responsibilities:

  • 8+ years in application/solution architecture, 3+ in AI/ML integration
  • Hands on experience with LangChain, Hugging Face, TensorFlow, or similar
  • Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock
  • Strong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS)
  • Solid background in APIs, microservices, event driven architecture
  • Comfortable in AWS
  • Strong coding skills in Python, Java
  • Understanding of MLOps/LLMOps

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