Company Description

Attri is an AI agent platform that enables modern teams to design, deploy, and scale specialized AI agents effortlessly, while maintaining human oversight for critical decisions. Our platform includes a drag-and-drop studio, a robust SDK, and secure data integrations, catering to both non-technical stakeholders and developers. Attri empowers organizations to automate tasks with tools like customer-support copilots and project-management assistants, delivering faster and smarter solutions. We emphasize collaboration between automation and human expertise, allowing businesses to scale confidently while cutting manual workloads by up to 70%, unlocking new revenue opportunities, and enhancing customer experiences. Trusted by Fortune 500 companies and high-growth startups, Attri transforms how businesses operate.

Responsibilities (Client-Facing)

Administer Microsoft 365 tenants across multiple clients — Exchange Online, Teams, SharePoint, Entra ID (Azure AD), OneDrive.
Deploy and manage Microsoft Intune MAM/MDM policies for BYOD environments, including App Protection Policies, conditional access, and compliance policies.
Handle end-to-end employee IT onboarding and offboarding — account provisioning, license assignment, access revocation, O365 archival.
Serve as the primary point of contact for client IT support during US business hours. Respond professionally, schedule calls (never cold-call), and resolve issues within defined SLAs.
Manage software licenses across clients — track, procure, assign, and terminate as headcount changes.
Monitor endpoint health, push security patches, and enforce compliance baselines (critical patches within 7 days).
Support security and compliance questionnaire responses by generating evidence artifacts — M365 config screenshots, Intune compliance reports, access review logs, patch status reports.
Coordinate with third-party vendors (netDocuments, VPN providers, antivirus vendors) on behalf of clients.

AI Operations (Internal + Client-Facing)

Support deployment and configuration of Claude-based AI workflows for client use cases — document assistants, compliance automation, intelligent helpdesk bots.
Write Python scripts for automating repetitive IT and AI operations — bulk user provisioning, report generation, API integrations, data processing pipelines.
Build and maintain AI-powered self-service bots that handle common client IT queries.
Operate and test Attri's AI automation pipelines — feed inputs, validate outputs, flag issues, document results.
Assist in preparing and delivering AI training sessions for client staff.
Maintain internal documentation — runbooks, playbooks, and knowledge bases for both IT operations and AI workflows.

Requirements

2–4 years of hands-on experience with Microsoft 365 administration (Exchange Online, Teams, SharePoint, Entra ID).
Working knowledge of Microsoft Intune / Endpoint Manager — device compliance policies, App Protection Policies, conditional access configuration.
Intermediate Python skills — comfortable writing scripts for automation, making API calls (REST/JSON), and processing data.
Strong understanding of cloud identity and access management — MFA, RBAC, conditional access, SSO.
Excellent written and spoken English — you will interact directly with US-based professionals (attorneys, executives). Clear communication is non-negotiable.
Ability to work US hours.
Self-driven, low-maintenance operator — this role requires someone who can own problems end-to-end without being micromanaged.

Great to Have

Microsoft certifications: MD-102 (Endpoint Administrator), MS-102 (M365 Administrator Expert), or SC-300 (Identity & Access Administrator).
Experience working at an MSP or IT services company — understanding of SLA-driven, multi-client service delivery.
Familiarity with AI/LLM tools — Claude, ChatGPT, Copilot — and comfort using them in daily workflows.
Experience with PowerShell scripting for M365 automation.
Exposure to compliance frameworks — SOC 2, NIST, or client security assessments.
Basic Linux/CLI comfort and familiarity with Docker containers.
Experience supporting legal tech or professional services environments (netDocuments, iManage, document management systems).
Knowledge of integrating AI tools with enterprise platforms (Teams bots, API-based automation, webhook workflows).

Cloud & AI Operations Engineer