Senior AI Engineer

Thinking Minds Inc.; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Thinking Minds Inc. is seeking a Senior AI Engineer to lead and build within the Data Governance Team. The role focuses on designing, deploying, and operating governed AI solutions on the Bank’s Databricks foundation.

You will translate business needs into scalable AI capabilities in a regulated environment. The Senior AI Engineer will be hands-on, writing production code and delivering agents and LLM applications while shaping the Bank’s AI architecture on Databricks.

Qualifications

• Databricks expertise.
• AI architecture experience.
• Production code proficiency.
• Experience with retrieval-augmented generation.
• Understanding of Model Context Protocol.

Responsibilities

• Lead engineering efforts on Databricks.
• Design and deploy production agents.
• Build and integrate MCP clients and servers.
• Lead prompt and context engineering.
• Configure and operate Databricks AI Gateway.
• Establish agent identity and authorization patterns.
• Partner with business stakeholders to translate requirements.
• Manage backlog priorities and trade-offs.

Skills

Databricks

AI architecture

Production engineering

Retrieval-augmented generation

Model Context Protocol

Prompt engineering

Context engineering

AI Gateway configuration

Tools

Databricks

Job description

Job Summary

Location: United States

Experience: 5+ years in production AI/data systems

Job Type: Permanent

Thinking Minds’ client is looking for an experienced Senior AI Engineer to lead and build within the Data Governance Team. This role is crucial for designing, deploying, and operating governed AI solutions on the Bank’s Databricks foundation. The engineer will translate business needs into scalable AI capabilities, ensuring measurable value in a regulated environment.

Ideal Candidate Should Have

• Databricks expertise
• AI architecture experience
• Production code proficiency
• Experience with retrieval-augmented generation
• Understanding of Model Context Protocol

Role Overview

The Senior AI Engineer will act as a hands‑on lead, writing production code and delivering agents and LLM applications while shaping the Bank’s AI architecture on Databricks. The role involves designing, building, testing, deploying, and operating production agents using various AI patterns. The engineer will also configure and operate Databricks AI Gateway as the control point for model and agent access.

Key Responsibilities

• Lead engineering efforts on Databricks
• Design and deploy production agents
• Build and integrate MCP clients and servers
• Lead prompt and context engineering
• Configure and operate Databricks AI Gateway
• Establish agent identity and authorization patterns
• Partner with business stakeholders to translate requirements
• Manage backlog priorities and trade‑off decisions

Top Skills and Modules

• Databricks
• AI architecture
• Production engineering
• Retrieval-augmented generation
• Model Context Protocol
• Prompt engineering
• Context engineering
• AI Gateway configuration