Enterprise AI Engineer: Production Solutions & Governance

Scigon Solutions, Inc.; Chicago (IL); On-site; USD 72,000 - 96,000; Full time

Job summary

Scigon Solutions, Inc. is hiring an AI Engineer to design, deploy, and operationalize enterprise AI capabilities.

You will work across business partners to translate ideas into production-ready AI solutions, combining hands-on experience with modern LLM platforms and strong software practices. You will drive end-to-end AI enablement, configure foundation models, ensure security and governance, and collaborate with Security, Cloud, and Infrastructure teams to deliver scalable, auditable solutions

Qualifications

• 5+ years of software/automation engineering experience.
• At least 2 years of experience designing and deploying production-grade solutions powered by large language models.
• Strong proficiency in Python development and API-based integrations.
• Experience with enterprise software integration patterns and distributed systems.
• Hands-on experience with modern LLM ecosystems, including prompt engineering, model configuration, tool integration, and function execution.
• Experience working within public cloud environments such as Azure, Google Cloud Platform, Vertex AI, or equivalent technologies.

Responsibilities

• Design, deploy, and manage reusable AI capabilities within enterprise AI platforms, including skills, tools, and plug-in functionality.
• Drive the complete lifecycle of AI enablement solutions, from intake and configuration through deployment, governance, ongoing support, and optimization.
• Configure foundation models such as Claude, Gemini, and similar technologies to support enterprise automation and business workflows.
• Deliver AI solutions from concept through production implementation, ensuring scalability, security, and operational readiness.
• Integrate existing enterprise systems, services, and approved tools using available connectivity frameworks and protocols.
• Collaborate with Security, Cloud, and Infrastructure teams to implement appropriate access controls, identity management practices, and credential governance.
• Ensure solutions comply with established AI governance standards, including auditability, monitoring, risk controls, and operational guardrails.
• Partner with engineering, automation, data, and business teams to identify opportunities and deliver impactful AI‑driven capabilities.

Skills

Python development

API integrations

LLM platforms

Cloud platforms

Stakeholder communication

Self-directed

Tools

Azure

Google Cloud Platform

Vertex AI

Job description

Scigon Solutions, Inc. is hiring an AI Engineer to design, deploy, and operationalize enterprise AI capabilities.

You will work across business partners to translate ideas into production-ready AI solutions, combining hands-on experience with modern LLM platforms and strong software practices. You will drive end-to-end AI enablement, configure foundation models, ensure security and governance, and collaborate with Security, Cloud, and Infrastructure teams to deliver scalable, auditable solutions