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# Principal Engineer, AI Engagement Lead

- **Company:** Object Computing, Inc.
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Software, Information Engineering, DevOps, Python (Programming Language), OpenAI, Software Engineering, TypeScript, Large Language Models, Claude Code, Snowflake, Infrastructure Automation Frameworks, Claude, Oracle Cloud Infrastructure, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bf4f98b4f93a9590

## About the Role

* All-in on AI. GenAI coding tools are your main way of building, and you've shipped working business apps that way. You can read and judge Python or TypeScript even if you no longer type most of it.
 * Technical depth. Deep in at least one of application development, data engineering, or cloud, and a strong architect across all three.
 * Production track record. Technical lead on at least two systems that went live and stayed live, ideally in a regulated industry.
 * Real LLM experience. You've built with large language models beyond a demo: retrieval, evaluation, agents, or tool use.
 * Business fluency. You can run discovery across core business applications and turn it into a plan an executive will fund.
 * Communication. An excellent communicator who's comfortable working directly with executives.
 * Leadership. You've led engineers without formal authority and know how to get a team unstuck.

## Description

* GenAI delivery tools for a Fortune 500 payments network
 * An agentic document-QA platform for a community bank
 * AI-accelerated DevOps for an aerospace manufacturer
 * MCP connectors for a central bank

What you'll do

 * Run lightweight discovery across a client's core business processes and platforms: finance, HR, customer, productivity, and the data underneath.
 * Shape a company-wide AI rollout plan with the client's executives and agree on what to tackle first.
 * Build the proof of concept yourself, quickly, to show what custom AI-powered apps can do.
 * Lead the follow-on build: set the architecture, hold the bar on testing, security, and infrastructure as code, and ship to production in the client's cloud.
 * Unblock the team, improve how it works, and coach the OCI engineers on the engagement.
 * Serve as the technical point of contact for the client sponsor, and bring what you learn back to OCI.

Typical stack

Claude and Azure OpenAI · Claude Code · MCP · Python and TypeScript · Azure and AWS · Databricks and Snowflake