Sr. GenAI Engineer

Valiant Technologies LLC; Chicago (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced AI Platform Engineer to design and build an enterprise-grade platform for creating, deploying, and operating autonomous agents. You will work on standardized patterns for interoperability, security, governance, and observability across teams and domains.

The role emphasizes scalable agent orchestration, centralized model interaction gateways, and production-grade capabilities with automated evaluation, guardrails, and resiliency to continuously

Qualifications

• Experience designing agentic workflows and multi-agent orchestration.
• Experience building scalable, enterprise-grade AI platforms.
• Knowledge of governance, security, and observability in AI platforms.
• Ability to build reusable platforms enabling multiple domains.

Responsibilities

• Design an enterprise AI platform for building, deploying, and operating AI agents with standardized orchestration and governance.
• Engineer agentic workflows and multi-agent coordination across systems, tools, APIs, and data sources.
• Establish enterprise-grade observability with instrumentation, tracing, metrics, and agent execution visibility.
• Provide a centralized gateway for AI model interactions, tools, services with security and policy enforcement.
• Build production-grade AI engineering capabilities like Agent Harness Engineering, evaluation loops, guardrails, and resiliency.

Skills

Agent orchestration

Observability

Enterprise security

Tools

Telemetry systems

Tracing frameworks

Job description

• 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.