AI Guardrails & AI/ML Engineer

Location: Charlotte, NC / Atlanta, GA / Minneapolis, MN / Irving, TX / Chicago, IL / Cincinnati, OH
Work Arrangement: Onsite – 5 Days a Week
Candidates located locally or within commuting distance of any USB Hub will be required to attend a face-to-face client interview.

Job Overview

We are seeking an experienced AI Guardrails & AI/ML Engineer to design, develop, and deploy scalable AI solutions within an enterprise environment.

The engineer will design, build, and operate enterprise-grade integrations with frontier AI model providers, including OpenAI, Anthropic, and other emerging foundation model vendors.

This role focuses on enabling secure, scalable, and compliant direct model access across cloud and hybrid environments. The engineer will develop APIs, SDKs, AI guardrails, observability capabilities, and orchestration frameworks that support production AI workloads.

The ideal candidate will evaluate and integrate new model releases, optimize performance, latency, reliability, and cost, and collaborate with architecture, security, risk, and platform engineering teams to establish standards for model governance, data protection, and responsible AI.

Key Responsibilities

• Design, develop, and deploy scalable AI solutions for enterprise environments.

• Build and operate enterprise-grade integrations with frontier AI model providers, including OpenAI and Anthropic.

• Enable secure, scalable, and compliant direct model access across cloud and hybrid environments.

• Develop APIs, SDKs, AI guardrails, observability capabilities, and orchestration frameworks.

• Support production AI workloads through reliable and scalable engineering solutions.

• Evaluate and integrate new AI model releases and emerging foundation model capabilities.

• Optimize AI model performance, latency, reliability, and cost.

• Partner with architecture, security, risk, and platform engineering teams.

• Establish and support standards for model governance, data protection, and responsible AI.

• Drive technical innovation and accelerate enterprise adoption of advanced AI capabilities.

Required Qualifications

• 5+ years of hands-on experience with LLM-based applications, GenAI architecture, and modern cloud-native engineering practices, with a focus on direct consumption of vendor models such as OpenAI and Anthropic.

• 5+ years of experience working with Large Language Models (LLMs).

• 5+ years of experience in Prompt Engineering.

• 5+ years of experience implementing Retrieval-Augmented Generation (RAG).

• 5+ years of experience developing and implementing Agentic AI workflows.

• 5+ years of experience in AI/ML model evaluation.

• 5+ years of experience driving technical innovation and accelerating the adoption of advanced AI capabilities across enterprise environments.

Education

Bachelor’s degree in Computer Science or equivalent work experience.

Work Location & Interview Requirements

This position requires candidates to work onsite 5 days per week at one of the following client office locations:

• Charlotte, NC

• Atlanta, GA

• Minneapolis, MN

• Irving, TX

• Chicago, IL

• Cincinnati, OH

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