Sarvam
About this role
Sarvam is building India's sovereign AI stack, backed by Lightspeed, Peak XV and Khosla Ventures. This role leads large scale deployments of its on device AI platform inside enterprise accounts, and the technical range is wider than most customer facing roles: BIOS and firmware diagnostics at one end, MDM fleet architecture at the other. You would lead deployment across large enterprise PC fleets using Intune and SCCM, own escalated hardware diagnostics across BIOS, firmware, driver and hardware level issues, and architect PowerShell automation frameworks for deployment, monitoring and configuration at scale. You also drive presales engagements, own SLA governance across a portfolio of accounts, and mentor other field engineers. The posting says the team is embedded with silicon partners including Qualcomm, Intel, HP, Apple and NVIDIA. Two requirements are marked non negotiable: Intune and SCCM depth, and advanced PC hardware diagnostics.
Who this is for
What the posting requires:
- 5 to 10 years of experience in field engineering, enterprise deployment or senior IT support roles.
- Deep, hands on expertise with Intune and SCCM covering policy design, compliance management and large scale fleet deployment. The posting marks this **non negotiable**.
- Advanced PC hardware diagnostics across BIOS, firmware and hardware level troubleshooting on varied enterprise device configurations. Also marked **non negotiable**.
- Strong PowerShell scripting, with the ability to build and maintain automation frameworks for enterprise environments.
- Expert level knowledge of Windows OS in enterprise and managed fleet contexts.
- A proven track record in customer facing technical roles, comfortable engaging enterprise IT leadership.
- Experience owning SLA management and escalation governance across multiple enterprise accounts.
Bonus points:
- Prior experience with on device AI, edge computing or sovereign enterprise AI deployments.
What the work actually looks like:
- Lead deployment and configuration of Sarvam's on device AI platform across large enterprise PC fleets using Intune and SCCM.
- Own escalated hardware diagnostics, resolving complex BIOS, firmware, driver and hardware level issues.
- Architect and maintain PowerShell automation frameworks for deployment, monitoring and configuration management at scale.
- Define and enforce MDM policy architecture via Microsoft Intune.
- Drive presales engagements: technical discovery, scoping proof of concept deployments, and presenting to enterprise IT leadership.
- Own SLA governance across a portfolio of enterprise accounts, managing escalations and resolution quality.
- Act as primary technical liaison between enterprise customers and Sarvam's product and engineering teams.
- Build and maintain deployment playbooks, technical runbooks and support documentation.
- Mentor and guide other field engineers.
What makes the context unusual: the posting describes the team as co owning the most ambitious on device AI problem in India, building sovereign models that run at the silicon level, embedded with partners including Qualcomm, Intel, HP, Apple and NVIDIA.
Location and working pattern: Bengaluru, described as on site or hybrid, with significant customer facing and mentoring responsibility.
Honest fit guidance: this is enterprise endpoint engineering more than it is AI engineering, and the two non negotiables tell you where applications will be judged. If your background is Windows fleet management at scale and you want to work at an AI company, it is a rare bridge. If you want to build models, this is not that role.
- 5 to 10 years of experience in field engineering, enterprise deployment or senior IT support roles.
- Deep, hands on expertise with Intune and SCCM covering policy design, compliance management and large scale fleet deployment. The posting marks this **non negotiable**.
- Advanced PC hardware diagnostics across BIOS, firmware and hardware level troubleshooting on varied enterprise device configurations. Also marked **non negotiable**.
- Strong PowerShell scripting, with the ability to build and maintain automation frameworks for enterprise environments.
- Expert level knowledge of Windows OS in enterprise and managed fleet contexts.
- A proven track record in customer facing technical roles, comfortable engaging enterprise IT leadership.
- Experience owning SLA management and escalation governance across multiple enterprise accounts.
Bonus points:
- Prior experience with on device AI, edge computing or sovereign enterprise AI deployments.
What the work actually looks like:
- Lead deployment and configuration of Sarvam's on device AI platform across large enterprise PC fleets using Intune and SCCM.
- Own escalated hardware diagnostics, resolving complex BIOS, firmware, driver and hardware level issues.
- Architect and maintain PowerShell automation frameworks for deployment, monitoring and configuration management at scale.
- Define and enforce MDM policy architecture via Microsoft Intune.
- Drive presales engagements: technical discovery, scoping proof of concept deployments, and presenting to enterprise IT leadership.
- Own SLA governance across a portfolio of enterprise accounts, managing escalations and resolution quality.
- Act as primary technical liaison between enterprise customers and Sarvam's product and engineering teams.
- Build and maintain deployment playbooks, technical runbooks and support documentation.
- Mentor and guide other field engineers.
What makes the context unusual: the posting describes the team as co owning the most ambitious on device AI problem in India, building sovereign models that run at the silicon level, embedded with partners including Qualcomm, Intel, HP, Apple and NVIDIA.
Location and working pattern: Bengaluru, described as on site or hybrid, with significant customer facing and mentoring responsibility.
Honest fit guidance: this is enterprise endpoint engineering more than it is AI engineering, and the two non negotiables tell you where applications will be judged. If your background is Windows fleet management at scale and you want to work at an AI company, it is a rare bridge. If you want to build models, this is not that role.
Apply on company site
Opens jobs.ashbyhq.com, the employer's own application page. Applying is always free.