AI/ML Engineer - Philadelphia, PA || New York City, NY || Washington, DC

United States·Philadelphia,New York,Washingtonentry

OtherPhiladelphia

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Quick Summary

Overview

About the Opportunity We are partnering with a fast-growing AI infrastructure startup helping enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready.

Technical Tools

OtherPhiladelphia

About the Role

~1 min read

We are partnering with a fast-growing AI infrastructure startup helping enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready. As organizations accelerate Generative AI adoption, they face increasing challenges around governance, compliance, reliability, safety, latency, and operational control.

The platform provides enterprise-grade infrastructure, evaluation frameworks, observability tools, and real-time guardrails that enable organizations to operationalize AI at scale.

This is a high-impact role that sits at the intersection of engineering, customer deployment, and AI reliability. You will work directly with enterprise customers and internal product and engineering teams to solve complex deployment challenges and help organizations successfully deploy AI systems in production environments.

Responsibilities

~1 min read

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Debug and troubleshoot complex deployment and integration challenges across customer environments.
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Work directly with customer engineering and platform teams to deploy and operationalize AI systems.
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Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance platforms.
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Deploy and support AI evaluation frameworks, observability solutions, and guardrail implementations.
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Translate customer deployment challenges into actionable feedback for product and engineering teams.
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Partner with engineering, infrastructure, security, risk, compliance, and operations stakeholders to navigate enterprise governance requirements.
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Drive successful customer adoption of AI infrastructure solutions while balancing technical and business requirements.

Nice to Have

~1 min read

Experience deploying enterprise AI, ML, or Generative AI solutions.
Exposure to AI governance, observability, evaluation frameworks, or model monitoring.
Experience working within regulated industries such as financial services, healthcare, insurance, or government.
Startup experience or demonstrated ability to thrive in fast-paced environments.
Experience managing multiple customer deployments simultaneously.