AI Foundry Platform Engineer

🕒 September 9

🇺🇸 United States – Remote

💵 $117k - $177k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AIS (Applied Information Sciences)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1982

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

AIS (Applied Information Sciences) is a mission-focused and outcome-oriented organization that specializes in AI and automation, cloud adoption, application innovation, and data and analytics. As a leading Microsoft partner, AIS helps transform businesses and solve complex problems with its expertise in cloud solutions, infrastructure, and application development. They cater to various industries, including commercial, financial services and insurance, healthcare and life sciences, energy and utilities, and government sectors. With their advanced data solutions and cloud capabilities, AIS guides businesses in their digital transformation journeys while improving productivity and unlocking new opportunities for growth.

📋 Description

• Configure and support Azure AI Foundry projects, model deployments, quotas, access controls, and telemetry • Implement private networking, private endpoints, DNS, managed identities, Key Vault integration, and role-based access • Build monitoring and reporting for usage, token consumption, capacity, cost allocation, safety events, and service health • Support secure integration between AI services, developer tools, AVD/Codex access patterns, and approved enterprise systems • Automate environment configuration and promote repeatable deployment patterns using approved infrastructure and release practices • Create operational runbooks, troubleshooting guides, and knowledge-transfer materials for platform support teams • Operate independently or as a team lead, select persistence technologies, define source control strategies, and design subsystem infrastructure • Manage cross-functional delivery and improve system reliability and scalability • Enforce standards through detailed reviews and establish productivity benchmarks • Provide functional leadership, resolve conflicts, and engage with internal and external stakeholders • Troubleshoot advanced client issues, support requirements gathering, and contribute to vendor presentations or proposal activities

🎯 Requirements

• 5+ years of Azure engineering experience, including networking, identity, monitoring, and secure PaaS delivery • Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure Machine Learning, or similar AI application platforms • Experience with Entra ID, managed identities, private endpoints, Key Vault, Log Analytics, and Azure Cost Management • Ability to troubleshoot across application, network, identity, and cloud-platform layers • Strong scripting or automation capability using PowerShell, Azure CLI, Python, or equivalent • Azure Government or regulated-environment delivery experience • Experience with LLM observability, AI safety controls, prompt management, or token governance • Azure Administrator or Azure Developer certification

🏖️ Benefits

• Employee ownership • Access to resources, training, and mentorship • Inclusive culture • Mission-driven work • Competitive and fair compensation