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Enterprise Architect AI Project Implementation
Enterprise Architect AI Project ImplementationPurple Drive • New York, NY, United States
Enterprise Architect AI Project Implementation

Enterprise Architect AI Project Implementation

Purple Drive • New York, NY, United States
14 hours ago
Job type
  • Full-time
Job description

Role : Enterprise Architect - AI Project Implementation

Location : Hybrid - New York, NY / New Jersey, NJ

Employment Type : Contract

Job Description :

We are seeking a highly experienced Enterprise Architect with a strong background in AI-driven solution design and implementation . The ideal candidate will possess hands-on expertise in data analytics, GenAI orchestration, LLM frameworks , and cloud-based architecture . This role involves working closely with AI leads, data engineers, and product teams to conceptualize, design, and deliver scalable AI systems aligned with enterprise goals.

Key Responsibilities :

  • Lead the architecture, design, and implementation of AI and data-driven solutions across enterprise systems.
  • Translate business requirements into scalable, API-based architectures leveraging modern AI and data technologies.
  • Collaborate with GenAI leads to deliver end-to-end AI solutions, from data ingestion to model integration .
  • Conduct experiments and evaluations on emerging LLMs and AI tools to identify potential enhancements.
  • Provide hands-on guidance in implementing and orchestrating GenAI components using Python , PySpark , or Java .
  • Integrate with Gemini Pro 1.x and similar LLMs via API endpoints for AI feature delivery.
  • Apply prompt engineering techniques and work with LangChain or similar LLM agents.
  • Leverage vector databases such as Pinecone , Chroma , or FAISS for semantic search and contextual retrieval.
  • Design and maintain data pipelines and infrastructure to support real-time AI workloads.
  • Utilize Google Cloud Platform (GCP) services for storage, serverless execution, search, transcription, and conversational AI.
  • Ensure best practices in data security, governance, and performance optimization across systems.

Required Skills & Qualifications :

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field.
  • 8+ years of experience in software development, data analytics, or enterprise architecture.
  • Proficiency in Python , PySpark , or Java for AI orchestration and API-based development.
  • Proven experience in AI / ML architecture design , particularly GenAI solutions .
  • Hands-on experience with LangChain , LLMs , vector databases (Pinecone / Chroma / FAISS) , and prompt engineering .
  • Experience integrating and working with Gemini Pro 1.x or similar LLM frameworks.
  • Solid understanding of data engineering workflows and ETL processes for structured and unstructured data.
  • Experience in GCP cloud services , including BigQuery, Cloud Functions, Vertex AI, and Firestore.
  • Strong debugging, troubleshooting, and optimization skills.
  • Preferred Skills :

  • Familiarity with AI model lifecycle management , MLOps , and data governance frameworks .
  • Experience in ETL tools and data pipeline automation .
  • Knowledge of multi-cloud architecture (AWS, Azure) is a plus.
  • Prior experience leading AI transformation initiatives or enterprise data modernization projects .
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    Enterprise Architect • New York, NY, United States

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