---
title: 'Strategic Deployment Engineer, Chanakya at Sarvam'
canonical: 'https://feeny.ai/job/strategic-deployment-engineer-chanakya-sarvam-delhi-kwdm7pr5vnyj'
type: 'job'
last_seen: '2026-10-17'
---

# Strategic Deployment Engineer, Chanakya at Sarvam

- **Company:** [Sarvam](https://feeny.ai/companies/sarvam)
- **Location:** Delhi, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-17
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/sarvam/87d5a5af-ea7d-4b94-a0fa-81dc64e54907/application

**Skills:** Python, Docker, Linux, REST APIs, CI/CD, LLM inference stacks, vLLM, TGI, Ollama, RAG architectures, Vector stores, Air-gapped network deployment, On-prem infrastructure, MCP server, Agentic frameworks, Open-source contributions

> Strategic Deployment Engineers serve as forward-deployed technical assets for client accounts, owning the full lifecycle of AI system deployments in complex, constrained environments. The role involves serving as the technical SPOC, diagnosing integration failures, and ensuring client satisfaction through robust dep...

## Job description

## About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

## About the Role

Strategic Deployment Engineers are Sarvam's forward-deployed technical assets. Embedded with clients, you own the full lifecycle of AI system deployments — including in air-gapped, classified, and on-prem environments — and in complex enterprise accounts where standard playbooks don't apply. You are the technical SPOC for your assigned accounts. Success is measured by whether the system works, the client trusts us, and the deployment creates durable capability — not by ticket closure. You will operate with autonomy and carry real accountability: for the system, for the relationship, and for outcomes.

## What You'll Do

- 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

## What We're Looking For

- 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

Signals We Look For

- You've shipped and maintained a working system end-to-end in environments where the bar for reliability was non-negotiable
- You've navigated ambiguous client requirements and made the call without explicit guidance
- Open-source projects, side products, or entrepreneurial stints that demonstrate technical craft and sustained follow-through

## Who You Are

- You treat ambiguity as the baseline — you don't need perfect information to move
- You own outcomes, not tasks. If something is broken in your line of sight, you fix it, flag it, or escalate — you don't wait to be asked
- You operate in high-pressure, forward-deployed environments without daily oversight, and you thrive there
- You are available and responsive when your clients are
- You have a strong bias for action and an equal openness to being wrong
- You are intellectually restless — the hardest, least-understood problems are the ones you find most energising

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

Why Sarvam? Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.

- Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
- High ownership and high impact, from day one
- Everything we do is AI-first, from the way we build and ship to the way we think about problems
- You can work on problems that could change how an entire country learns, works, and communicates If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.

## About Sarvam

## Company Overview
- **One-liner**: Sarvam is building India's full-stack sovereign AI platform, delivering state-of-the-art models and enterprise-grade applications for Indic languages.
- **Entity Type**: Private (Series A – $41M raised)
- **Headquarters**: Bengaluru, India
- **Founded**: August 2023
- **Founders**: Dr. Vivek Raghavan, Dr. Pratyush Kumar

## Core Business
- Primary industry: Artificial Intelligence / Generative AI
- Target customers: Enterprises, Government, Developers (B2B, B2G)
- Mission: Make AI widely accessible to everyone in India by building foundational components that reflect how the country thinks, speaks, reasons, and solves problems.

## Products & Services
- **Sarvam Cloud**: Fully managed, automatically scaling API platform for Indic AI capabilities.
- **Speech to Text (Saaras)**: High‑accuracy ASR across 12 Indic languages.
- **Text to Speech (Bulbul)**: Natural voices across 11 Indic languages.
- **Translation**: State‑of‑the‑art translation across 23 languages.
- **Document Digitisation (Akshar)**: Convert PDFs and images into structured data.
- **Vision Models**: Image understanding and processing.
- **Samvaad**: Conversational AI studio for building voice agents.
- **Arya**: AI‑for‑work platform with forward‑deployed engineers for custom agent design and integration.
- **Deployment Options**: Private cloud, on‑premise, hybrid, or air‑gapped environments.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: Total funding $41M (from Khosla Ventures, Lightspeed, Peak XV Partners)
- **Notable Investors/Partners**: Khosla Ventures, Lightspeed, Peak XV Partners
- **Growth Signals**: 62 open positions across engineering, models, product, sales, and more; case studies with large‑scale deployments (50,000+ farmer feedback calls, millions of policy calls); SOC 2 Type II, ISO 27001, DPDP compliant.

## Competitive Advantages
- **Sovereign AI**: All technology developed and operated entirely in India, with full data control and compliance with Indian data protection laws.
- **Full‑stack platform**: From foundational models to enterprise agents, everything built in‑house.
- **Forward‑deployed engineering**: Dedicated engineers embedded with customer teams to ensure successful delivery.
- **Population‑scale impact**: Proven ability to serve millions of users in Indic languages across government and BFSI.
- **Deployment flexibility**: Can run on any infrastructure, including air‑gapped for regulated industries.

## Strategic Focus
- Continue building state‑of‑the‑art models and tools for Indic languages.
- Expand enterprise and government adoption of conversational AI agents.
- Nurture the Indian AI ecosystem by open‑sourcing models and tools.
- Scale team rapidly (62 open roles) to support growing customer demand.

## Why Work Here
- **Mission‑driven opportunity**: Shape AI that serves India’s linguistic and cultural diversity.
- **On‑site first**: All roles are based in Bengaluru (Delhi also available), fostering deep collaboration.
- **Cutting‑edge work**: Foundational model research, ML infrastructure, full‑stack product engineering.
- **High‑impact culture**: Teams work directly with customers via forward‑deployed engineers, seeing immediate real‑world use.
- **Backed by top investors**: Financial stability and growth runway from Lightspeed, Peak XV, and Khosla Ventures.

## Sources
1. [sarvam.ai](https://www.sarvam.ai/)
2. [sarvam.ai/about-us](https://www.sarvam.ai/about-us)
3. [sarvam.ai/careers](https://www.sarvam.ai/careers)
4. [jobs.ashbyhq.com/sarvam](https://jobs.ashbyhq.com/sarvam)
5. [linkedin.com/company/sarvam-ai](https://www.linkedin.com/company/sarvam-ai)

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