AI Architect

Job Description – AI Architect

• Job Title: AI Architect
• Location: Miami, FL
• Duration: 6 months
• GBaMS ReqID: 10954404
• Experience Required: 10–15 years
• Primary Skills: AI/ML, Python, Azure, RAG, Vector Databases, LLM
• Domain: AI / Machine Learning / Enterprise Architecture

Role Summary

• Seeking an experienced AI Architect with strong expertise in AI/ML, enterprise architecture, and LLM-based solutions.
• Responsible for architecting and designing scalable RAG systems, vector search platforms, and LLM-based knowledge solutions.
• Strong hands-on development experience with Python, cloud ML platforms, vector databases, and AI orchestration frameworks.
• Experience designing secure, scalable AI architectures across data, APIs, cloud infrastructure, and containerized environments.
• Financial services experience is preferred, particularly in:
  • Commercial real estate credit
  • Loan servicing
  • Asset management

Required Experience

• 10–15 years of experience in:
  • Artificial Intelligence
  • Machine Learning
  • Enterprise Architecture
  • Related technology roles
• Proven experience architecting:
  • Retrieval-Augmented Generation (RAG) systems
  • Vector search solutions
  • LLM-based knowledge platforms
• Strong experience designing enterprise-grade AI/ML solutions.
• Experience translating business requirements into scalable AI architectures.

Must-Have Technical Skills

• Python
• Azure Cloud ML Platforms
• Vector Databases, including:
  • Pinecone
  • Database Vector / DB Vector
• LangChain
• LlamaIndex
• Similar AI/LLM orchestration frameworks
• LLM fine-tuning
• Embeddings
• RAG architecture
• Vector search
• Document AI
• Natural Language Processing (NLP)
• Unstructured data processing

AI / LLM Expertise

• Design and architect RAG-based solutions.
• Develop and implement vector search architectures.
• Design LLM-powered knowledge platforms.
• Experience with LLM fine-tuning techniques.
• Strong understanding of embeddings and vectorization.
• Experience with document chunking strategies.
• Familiarity with knowledge graphs.
• Experience processing and extracting insights from unstructured documents.
• Strong understanding of NLP and Document AI technologies.
• Ability to select appropriate AI/ML models and orchestration frameworks based on business requirements.

Cloud & Architecture Skills

• Strong experience with Azure cloud and ML services.
• Architect scalable and highly available AI/ML platforms.
• Design enterprise data pipelines supporting AI/ML workloads.
• Experience designing:
  • APIs
  • Event-driven architectures
  • Data pipelines
  • AI/ML services
• Strong knowledge of containerization technologies:
  • Docker
  • Kubernetes (K8s)
• Experience designing cloud-native AI applications.
• Strong understanding of security-by-design principles.
• Ability to incorporate security, privacy, and governance into AI architectures.

Key Responsibilities

• Define end-to-end architecture for enterprise AI/ML solutions.
• Architect RAG systems and LLM-based knowledge platforms.
• Design vector search and retrieval architectures.
• Select and implement appropriate vector databases and embedding strategies.
• Design document ingestion, chunking, vectorization, and retrieval pipelines.
• Develop scalable AI orchestration solutions using LangChain, LlamaIndex, or similar frameworks.
• Define architecture for LLM fine-tuning and embedding workflows.
• Design APIs and event-driven integrations for AI services.
• Establish secure and scalable data pipelines for AI/ML workloads.
• Guide development teams on AI architecture and implementation best practices.
• Ensure AI solutions meet enterprise security and scalability requirements.
• Collaborate with engineering, data, security, and business stakeholders.
• Evaluate emerging AI/ML technologies and recommend appropriate solutions.
• Provide technical leadership throughout the AI solution lifecycle.

Preferred Domain Experience

• Experience in financial services is preferred.
• Strong preference for experience in:
  • Commercial real estate
  • Commercial real estate credit
  • Loan servicing
  • Asset management
• Understanding of financial services data and document processing is a plus.

Core Competencies

• AI Architecture
• Machine Learning
• Generative AI
• Large Language Models (LLMs)
• RAG
• Vector Search
• Vector Databases
• Python
• Azure ML
• Pinecone
• LangChain
• LlamaIndex
• Embeddings
• Fine-Tuning
• Document AI
• NLP
• Knowledge Graphs
• Unstructured Data Processing
• Data Pipelines
• REST APIs
• Event-Driven Architecture
• Docker
• Kubernetes
• Cloud Security

Role Classification

• Role Description: AI Architect
• Essential Skills: AI Architect
• Desirable Skills: Financial Services / Commercial Real Estate
• Keyword: AI / ML / Generative AI
• Skills: Python, Azure, Vector DB, LangChain, LlamaIndex, RAG, LLM
• Experience Required: 10–15 years