AI Engineer

Job Summary
Location: United States
Experience: 5+ years in production AI/data systems
Job Type: Permanent
Thinking Minds' client is looking for an experienced AI Engineer to develop, test, deploy, and support enterprise AI solutions that advance the bank's Data & AI strategy. This role is crucial for designing and implementing AI agents, large language model (LLM) applications, retrieval solutions, and governance controls using Databricks and approved enterprise AI platforms.

Ideal Candidate Should Have
Python and Databricks experience
Expertise in large language models (LLM)
Experience with AI governance
Knowledge of retrieval-augmented generation (RAG)
Understanding of multi-agent architectures
Role Overview
The AI Engineer will work across data engineering, software development, AI governance, and business process optimization. The role involves developing expertise in generative AI, agentic architectures, and responsible AI practices within a regulated financial services environment.

The engineer will contribute to the design and implementation of AI-powered applications and ensure they meet business and regulatory requirements.

Key Responsibilities
Design and develop AI-powered applications, copilots, and agent-based solutions using Python and Databricks
Build retrieval-augmented generation (RAG) solutions and workflow automations
Maintain integrations between AI solutions and enterprise systems
Participate in prompt engineering and agent orchestration
Support model evaluation, monitoring, and optimization
Troubleshoot AI application issues and contribute to performance tuning
Ensure AI solutions meet business, regulatory, and governance requirements
Top Skills and Modules
Python
Databricks
Large language models (LLM)
Retrieval-augmented generation (RAG)
AI governance
Multi-agent architectures
Prompt engineering
Agent orchestration