AI Infrastructure Engineer

ConsultNet Technology Services and Solutions • Full-time • New York, NY, US • 5h ago

Role Overview:

Primary hiring focus is an AI Infrastructure Senior Engineer supporting the build-out of the company's Azure-based technology stack.
The role will be the first hire on the infrastructure engineering team and will work under the infrastructure engineering lead, with support from the broader DevOps and cloud organization.
The team is building infrastructure that enables developers to move quickly, including Azure-hosted AI models, agents, and related development environments.
The AI Engineer II role was discussed separately and may already be filled; Jared will confirm its status. The AI Infrastructure Director and Senior DevOps Engineer roles are not currently active hiring priorities.

Key Requirements:

Approximately three to five years of experience, with a preference toward candidates closer to five years of relevant experience.
Strong, hands-on Azure infrastructure experience; Azure should be the candidate's primary cloud environment and area of expertise.
Experience supporting and managing infrastructure pipelines and development build-outs in Azure.
Experience with Azure AI Foundry, including Azure-hosted models, agents, or related services. Azure OpenAI experience is relevant, but the broader Azure Foundry environment is the primary focus.
Infrastructure scripting experience and the ability to understand, discuss, and contribute to Terraform-based infrastructure automation.
Candidates with some AWS or GCP exposure may be considered, but multi-cloud experience is not required.
Experience with RAG pipelines, LLMs, and broader AI infrastructure is valuable but secondary to strong Azure infrastructure expertise.
Potentially relevant backgrounds include infrastructure engineering, platform engineering, site reliability engineering, or DevOps, provided the candidate has strong Azure infrastructure depth.
Experience with Kubernetes, Azure security, identity, key vault, monitoring, or related services may be useful, although Jared was not able to confirm these as strict requirements.
The ideal candidate will be able to operate as a subject-matter expert, support developers at a fast pace, and communicate effectively with the surrounding DevOps and cloud teams.

Location:

Chicago is the primary location preference, particularly because the infrastructure engineering lead is based there.
Houston is also preferred as a potential location.
Jared is open to considering exceptional candidates in other locations, including New York or fully remote locations, if they are the strongest available fit.
The broader AI-forward development pods work on-premises in the office, but a specific hybrid schedule for this role was not confirmed.

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