AI - Integration Application Architect

Job Description

Job Title: AI - Integration Application Architect

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Location: Phoenix, AZ 85001

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Work Arrangement: Hybrid

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Employment Type: Contract

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Duration: 3 to 6 Months

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Domain: Technology & Enterprise AI Integration

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Pay Rate: $64/hr W2 | $77/hr C2C

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Application Deadline: October 20, 2026

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SKILLS REQUIRED

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Primary (Must-Have):

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• Application / Solution Architecture (8+ years) & AI/ML Integration (3+ years)

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• AI Frameworks & Toolkits (LangChain, Hugging Face, TensorFlow, or Semantic Kernel)

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• LLM Platforms & Services (OpenAI, Azure OpenAI, Anthropic, or AWS Bedrock)

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• Retrieval-Augmented Generation (RAG) Architecture & Vector Databases (Pinecone, Weaviate, or FAISS)

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• API Development, Microservices Architecture & Event-Driven Systems

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• Software Engineering & Languages (Python, Java)

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• Cloud Infrastructure (AWS)

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Secondary (Good to Have):

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• MLOps & LLMOps Pipeline Engineering

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• Enterprise Data Privacy, Model Risk Management & Production Monitoring Frameworks

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• Geospatial Systems Architecture & Spatial Data Integration

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POSITION OVERVIEW

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The AI - Integration Application Architect leads the architectural design and deployment strategies for embedding advanced artificial intelligence models into core enterprise applications. Reporting to Engineering Leadership, this role addresses critical system interoperability, scalabilty, and governance challenges by integrating Large Language Models (LLMs) and custom RAG pipelines. The architect ensures enterprise AI solutions operate efficiently within AWS environments while upholding strict performance, security, and compliance standards.

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ROLES & RESPONSIBILITIES

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• Design and execute integration architectures to seamlessly plug AI models, LLMs, and frameworks (LangChain, Semantic Kernel) into core systems and microservices.

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• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases (Pinecone, Weaviate, FAISS) for scalable enterprise data retrieval.

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• Develop, secure, and maintain RESTful APIs and event-driven microservices to bridge AI services with broader enterprise technology stacks.

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• Establish model risk management, data privacy protocols, and production monitoring frameworks across cloud platforms (AWS).

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• Collaborate cross-functionally with Data Science, Software Engineering, and Infrastructure teams to evaluate AI platform performance, operational costs, and compliance readiness.

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BENEFITS

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Medical | Dental | Vision | 401(k)

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EEOC Compliance:

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We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

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DISCLAIMER

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AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.