Enterprise Architect - AI Project Implementation

Purple Drive

New York, NY

Overview:

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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Vacancy posted 5 days ago

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