24 Sep
|
Data Nexus AI
|
Bikaner
24 Sep
Data Nexus AI
Bikaner
About SENTINEL
GRT Corporation is developing SENTINEL, a predictive maintenance and fire emergency warning system for maritime vessels using electrical signature analysis. SENTINEL provides recommendations and warnings; it does not control vessel equipment or take autonomous action.
The role.
We are seeking a hands on specialist who can advise us on the right workspace and knowledge base tools and then personally configure, test, document, and support the approved environment. Microsoft 365 is our current stack, but it is not a constraint. This position serves SENTINEL only.
What you will do
- Review the current OneDrive, Microsoft 365, Entra ID, external sharing, Claude, and ChatGPT environment and maintain a prioritized issue register.
- Recommend the storage, versioning, identity, AI, and automation tools that best fit SENTINEL, including alternatives to the current Microsoft stack, and implement only the option GRT approves.
- Create documented, reproducible role based environments on Windows and macOS, including AI clients, connectors, shared instructions, skills, and access.
- Track significant platform and AI vendor changes, re verify the approved configuration, use a regression checklist, and restore settings that drift.
- Configure role based access and vendor boundaries and test that SENTINEL information cannot cross internal function, role, or vendor boundaries.
- Implement one authoritative versioned document store with retrievable history, current version publication for non Git users, indexed or semantic retrieval with measured quality, and migration of existing SENTINEL content.
- Build approved SENTINEL workflows for vendor proposals, MSA and SOW comparison, meeting records, project status, requirements and engineering changes, BOM and release traceability, test evidence, certification documentation,
and onboarding.
- Create cross document checks that flag contradictions among requirements, engineering change orders, test evidence, and vendor material for human resolution.
- Set standards that keep AI generated internal documents short and substantive while preserving source citation, human approval, exception handling, and audit evidence.
- Train beginner and advanced AI users and deliver configuration records, test evidence, administrator instructions, recovery steps, support procedures, and an improvement backlog.
What success looks like
- A new SENTINEL user, including someone with no prior AI experience, becomes productive within one business day.
- Users in the same role receive identical, documented, recoverable environments on Windows and macOS.
- Every authoritative record has one current version and retrievable history; retrieval and access tests return the correct source without crossing role, internal function, or vendor boundaries.
What you bring
- Demonstrated hands on enterprise AI implementation with specific comparable problems, your personal contribution, and measurable results.
- Two or more years configuring Microsoft 365 or a comparable production platform, including identity, permissions, external access, auditability, and lifecycle controls.
- Practical Git or GitHub document control, repeatable workstation setup, and automation with approvals, exceptions, testing, and audit evidence.
- Solid documentation, training, stakeholder communication, and English, with agreed United States Eastern Time overlap.
How to apply
Apply through with your location, availability, target rate, and examples of comparable AI workspace implementations. For each example, state the problem, what you personally configured, and the measurable result. Include your proposed monthly support rate.
📌 Senior AI Workspace Specialist (Bikaner)
🏢 Data Nexus AI
📍 Bikaner