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Strategic Deployment Engineer, Chanakya

Sarvam AIDelhiDeployment Engineering
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Salary
Not listed
Job type
Full-time
Posted
17 Apr 2026
Status
Open · checked 7d ago

About this role

Sarvam AI is hiring a full-time Strategic Deployment Engineer based in Delhi to lead full-lifecycle AI system rollouts for major enterprise and public sector clients. This role suits an experienced technical professional who thrives in autonomous, forward-deployed environments and wants to shape India's sovereign AI infrastructure.

Role Overview

As a forward-deployed technical asset, the Strategic Deployment Engineer embeds directly with clients in Delhi to manage the complete lifecycle of AI system implementations. This position involves taking charge of deployments in complex, air-gapped, and on-premise setups where standard technical playbooks do not apply. The professional acts as the primary technical point of contact for assigned accounts, ensuring reliable system performance, building lasting client trust, and driving durable operational capabilities without relying on ticket closure metrics.

Key Responsibilities

Manage end-to-end rollouts of the full artificial intelligence stack across on-premise, air-gapped, classified, and constrained enterprise environments.
Act as the main technical contact for designated accounts, guiding the process from initial scoping and proof of concepts through to regular operations.
Troubleshoot and fix integration issues, model drift, infrastructure roadblocks, and inference challenges independently.
Feed field insights back into the core product layer and deployment library for future scaling.
Handle environment configurations, model serving, and deployment pipelines in non-standard settings.
Support client adoption by providing operational handovers, technical training, and clear documentation.
Monitor and drive client satisfaction metrics, including uptime, time-to-value, and overall account sentiment.

Requirements

Three to six years of professional background in software engineering or machine learning engineering, including at least one complete enterprise or on-premise deployment cycle delivered from start to finish.
Production-level working proficiency in Python, Linux systems administration, Docker, REST APIs, and CI/CD pipelines.
Practical background working with large language model inference stacks like vLLM, TGI, or Ollama, along with retrieval-augmented generation architectures and vector databases.
History of setting up systems within restricted environments such as air-gapped networks, unusual hardware constraints, or strict regulatory frameworks.
Strong full-stack debugging instincts capable of resolving problems across application, networking, and infrastructure layers.
Demonstrated capability to build and maintain operational systems where reliability is critical.
Comfort with ambiguity and the ability to make key technical decisions without micro-management.

Nice to Have

Background working with strategic enterprise accounts or highly complex client portfolios.
Previous familiarity with agentic frameworks or MCP server experience.
Personal side projects, entrepreneurial ventures, or open-source contributions highlighting technical dedication.

Skills and Tools

Python
Docker
Linux Systems Administration
REST APIs and CI/CD Pipelines
LLM Inference Stacks (vLLM, TGI, Ollama)
RAG Architectures and Vector Stores

About the Company

Sarvam AI is creating India's comprehensive sovereign artificial intelligence platform, working across research, infrastructure, foundation models, and end-user applications. The organization partners with prominent brands and public institutions such as Tata Capital, SBI Life, CRED, IDFC, and LIC to make artificial intelligence genuinely useful for India. Backed by prominent venture capital firms including Lightspeed, Peak XV, and Khosla Ventures, the company brings together high-talent teams tackling population-scale technical challenges.

How to Apply

Interested candidates should visit the official Sarvam AI careers page to submit their application for the Strategic Deployment Engineer position.

Skills and tech stack

PythonDockerLLMRAG

Questions candidates ask

What is the location of the Strategic Deployment Engineer position?

The position is based in Delhi, India, with on-site responsibilities embedded within client environments.

What level of experience is required for this role?

The company looks for candidates with three to six years of experience in software or machine learning engineering, with at least one complete enterprise deployment delivered end-to-end.

What technical stacks and tools are needed?

Applicants should have production-grade experience in Python, Docker, Linux administration, CI/CD pipelines, REST APIs, LLM inference stacks like vLLM, TGI, or Ollama, and RAG architectures with vector stores.

Is remote work available for this job?

No, this is a forward-deployed engineering role embedded with clients in Delhi, requiring on-site presence in complex enterprise environments.

How should I apply for this job?

Interested applicants should submit their applications directly through the official Sarvam AI careers page.

Ready to apply?

The application is on the official Sarvam AI careers page.

Apply on company site