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USA - Remote, United States of America
Remote only
When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.
Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
Core Knowledge & Skills: Operates independently or as a team lead, selects appropriate persistence technologies (e.g., EF, Dapper), defines source control strategies, and designs subsystem infrastructure.
Work & Complexity: Tackles complex problems with thorough analysis, manages cross-functional delivery, and improves system reliability and scalability.
Quality & Independence: Consistently meets deadlines even under challenging conditions, enforces standards through detailed reviews, and establishes productivity benchmarks for the team.
Teamwork & Communication: Provides functional leadership by setting objectives, organizing resources, resolving conflicts, and engaging confidently with both internal and external stakeholders.
Consulting & Engagement: Troubleshoots advanced client issues, supports requirements gathering, and contributes to vendor presentations or proposal activities.
AIS is seeking an AI Foundry Platform Engineer to build, secure, and operate the Azure Government AI platform that enables governed use of Azure AI Foundry and approved generative AI models. This engineer converts architecture into repeatable platform capabilities and reliable developer experiences.
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.
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.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
