← All roles

Strategic Deployment Engineer, Chanakya

Sarvam· Deployment Engineering
Apply on company site
DelhiFull-timePosted 3mo ago

About the role

Strategic Deployment Engineers act as forward-deployed technical assets, owning the full lifecycle of AI system deployments for enterprise accounts in on-prem, air-gapped, and classified environments. They serve as the technical single point of contact for assigned accounts, ensuring system reliability, client trust, and durable deployment capability with autonomy and accountability.

Responsibilities

  • Own end-to-end deployment of Sarvam's full AI stack in client environments — on-prem, air-gapped, classified infrastructure, and complex enterprise accounts
  • Serve as technical SPOC for assigned accounts, from scoping and PoC through to steady-state operations
  • Diagnose and resolve integration failures, model drift, inference issues, and infrastructure breakdowns without escalation ladders
  • Surface field learnings that feed back into the product layer and replicable deployment library
  • Manage deployment pipelines, model serving, and environment configuration in non-standard, constrained settings
  • Drive client-side adoption through documentation, training, and operational handover where required
  • Own client satisfaction (CSAT, time-to-value, uptime) for your accounts; flag risks before they become escalations

Qualifications

  • 3–6 years in software or ML engineering, with at least one full-cycle on-prem or enterprise deployment delivered end-to-end
  • Production-grade experience in Python, Docker, Linux systems administration, REST APIs, and CI/CD pipelines
  • Hands-on experience with LLM inference stacks — vLLM, TGI, Ollama, or equivalent — and RAG architectures and vector stores
  • Experience deploying in constrained environments: air-gapped networks, limited connectivity, non-standard hardware, or complex regulatory requirements
  • Full-stack debugging instinct — comfortable diagnosing across infrastructure, networking, and application layers without a specialist to hand
  • Demonstrated ability to ship and maintain a working system end-to-end in environments where reliability was non-negotiable
  • Proven ability to navigate ambiguous client requirements and make the call without explicit guidance

Skills

Required:PythonDockerLinux systems administrationREST APIsCI/CD pipelinesLLM inference stacks

Benefits

  • Bonus Points: Prior experience with strategic or complex enterprise accounts
  • MCP server experience or familiarity with agentic frameworks
  • Open-source projects, side products, or entrepreneurial stints that demonstrate technical craft and sustained follow-through
Last updated Sep 1, 2026. Interested? Apply on the company site.
Sarvam logo

About Sarvam

Sarvam | India's Full-Stack Sovereign AI Platform

Sarvam is India's full-stack sovereign AI platform, with speech-to-text, text-to-speech, translation, and conversational agents across 22 Indian languages. Start free.

API PricingAbout UsAksharAryaCareersConversationsDocument DigitisationDocumentation
Company profileWebsite

More open roles at Sarvam