Architecture AI Analyst

Duration: 12+ months

Location: Onsite 3-4 days/week in Charlotte, NC

Design scalable AI architectures that combine machine learning, large language models (LLMs), backend services, and enterprise data. Build solutions using Anthropic Claude models, Java, Python, retrieval-augmented generation (RAG), and vector search to solve financial-services use cases. Partner with senior consultants, data science teams, and architecture AI practitioners while mentoring junior team members.

Requirements:

• 3+ years of professional AI/ML software development experience.
• Experience integrating Anthropic Claude APIs, including Messages API, tool use, and system prompt design.
• Hands-on experience with Python for ML development, scripting, data processing, and AI pipeline construction.
• Financial Services Loan Management experience.

Responsibilities:

• Design AI-oriented architectures integrating machine learning models with LLM capabilities.
• Develop backend services using Java with AI integration layers using Python.
• Implement Anthropic Claude solutions covering prompt engineering, tool use, and multi-turn conversations.
• Build AI pipelines covering data ingestion, preprocessing, model inference, and output post-processing.
• Design RAG patterns with vector search for enterprise data integration.
• Conduct technical reviews while contributing to architectural decision records (ADRs).
• Identify performance bottlenecks within AI-driven systems.
• Evaluate scalability concerns across AI architectures.
• Contribute to AI knowledge-sharing initiatives.

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