Sr. GenAI Engineer

Artifintech; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

Artifintech in Chicago, IL is seeking an experienced AI Platform Engineer to help design and build scalable agent-based systems that enable cross-team collaboration across enterprise domains.

The role focuses on architecting agentic workflows, establishing enterprise-grade observability, and enforcing governance and security while enabling independent agent development within standard practices.

Qualifications

• Experience designing agentic workflows and multi-agent orchestration.
• Proven ability to build scalable, extensible AI platforms.
• Experience with observability, tracing and metrics in large systems.
• Knowledge of security, governance, and access control in enterprise environments.
• Ability to enable teams to develop agents independently within common standards.
• Experience with evaluation loops and guardrails.

Responsibilities

• Design and implement agentic workflows and orchestration.
• Create enterprise-grade observability across platform.
• Develop centralized gateway for AI model interactions and tools.
• Ensure security, authentication, authorization, throttling and policy enforcement.
• Build reusable platform for multiple business domains.
• Develop production-grade AI engineering capabilities and continuous improvement mechanisms.

Skills

Agent orchestration

Observability

Security governance

Scalability

AI platform design

Multi-agent systems

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• The platform should enable teams to build, deploy, and operate AI agents using a variety of development approaches and frameworks while providing a standardized enterprise foundation for orchestration, integration, governance, security, and observability.
• The engineer should have experience designing agentic workflows and multi-agent orchestration, including both event-driven and workflow-based patterns. The platform should support scalable communication and coordination between agents, enterprise systems, tools, APIs, and diverse data sources.
• A key responsibility will be establishing enterprise-grade observability across the platform, including centralized instrumentation, tracing, operational metrics, performance monitoring, error tracking, and visibility into agent execution and behaviour.
• The platform should also provide a centralized gateway for AI model interactions, agent tools, and external services, ensuring consistent security, governance, authentication and authorization, access control, throttling, monitoring, and policy enforcement.
• The ideal engineer will have experience building scalable, extensible, and technology-agnostic AI platforms that allow different teams and business domains to develop agents independently while adhering to common enterprise standards for interoperability, security, governance, reliability, and operational management.
• The role should also focus on building production-grade AI engineering capabilities, including Agent Harness Engineering, automated and closed-loop evaluation, feedback loops, prompt and model evaluation, observability, guardrails, resiliency, and continuous improvement mechanisms. The goal is to create a reusable platform where multiple business domains can build, deploy, monitor, and operate autonomous agents using standardized enterprise patterns rather than creating isolated agent solutions.

Skills :

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.