Lead AI Engineer

Ovative Group

. Develop reusable infrastructure patterns and guardrails that allow domain experts and practitioners to build their own workflows without requiring engineering involvement at every step.

Posted 6/13/2026full-timeMinneapolis • Illinois, Minnesota, New York • 🇺🇸 United StatesSenior💰 $125,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Develop reusable infrastructure patterns and guardrails that allow domain experts and practitioners to build their own workflows without requiring engineering involvement at every step.
Design the abstraction layer that separates technical implementation from business logic, so non-engineers can configure and iterate without breaking the underlying system.
Serve as the technical owner of Ovative's AI workflow infrastructure, leading the system from initial design through production use.
Design and build the integration layer connecting our enterprise AI platform to the tools and data sources the organization depends on.
Architect the orchestration logic that enables multi-step automated workflows, including how inputs are routed, how outputs connect back into existing systems, and where human review is required.
Own the security and governance framework for all AI integrations and automated workflows.

Requirements

What you’ll need

8+ years of experience in software engineering, platform engineering, or applied technical roles.
Demonstrated experience designing and delivering AI-powered workflow systems, integration platforms, or agent-based automation in production environments.
Strong proficiency in Python and SQL, with experience building production platform or data services.
Experience designing and building API integrations, connector frameworks, or workflow automation systems at enterprise scale — including bidirectional write-back to operational systems.
Hands-on experience with cloud platforms (AWS, GCP, or Azure); experience with Databricks is strongly preferred.
Hands-on experience with MCP (Model Context Protocol) or equivalent agent orchestration frameworks.
Demonstrated hands-on experience working with large language models in production: context windows, prompt structure, tool use, and agent behavior.
Strong communication skills and demonstrated ability to lead technical discussions across disciplines.

Benefits

Comp & perks

Strong, competitive, holistic benefits that understand the importance of your life inside and out of work.
Health insurance options, inclusive of same sex partners.
401(k) match program.
Generous paid vacation policy.
Access to all office spaces in MSP, NYC, and CHI.
Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams.
Monthly stipend for your mobile phone and data plan.
Sabbatical program.
Charitable giving via our time and a financial match program.

ATS Keywords

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Hard Skills & Tools

PythonSQLAI-powered workflow systemsintegration platformsagent-based automationAPI integrationsconnector frameworksworkflow automation systemscloud platformslarge language models

Soft Skills

strong communication skillslead technical discussions