Senior AI Platform Engineer

Samsara

18h•Remote

About The Position

Samsara's Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara’s Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization. We are looking for a hands-on AI platform Engineer to build, ship, and scale Samsara’s Enterprise AI platform that provides end-to-end capabilities for AI agents to be deployed, managed, governed etc. As a Senior AI Platform Engineer, you’ll own the full lifecycle of AI-powered systems — from initial design and prototyping to production deployment, monitoring, and iteration. You will collaborate with architects, engineers, and cross-functional stakeholders across Samsara to brainstorm, design, rapidly prototype, and productionalize AI-driven features and capabilities that integrate deeply into real business workflows.

Requirements

Bachelor’s or Master’s degree in Computer Science or related Engineering discipline.
10+ years of industry experience in software engineering or data platform development, including:
3+ years of experience owning the development, testing, deployment, monitoring, and support of web applications and backend APIs.
0-1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance.
1+ year of experience in administering AWS platform.
Strong expertise in Python and AI/ML fundamentals, particularly Generative AI solutions (e.g., LLMs, vector databases, prompt engineering, embeddings, RAG systems).
Experience with AI agent development frameworks and tooling (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A).

Nice To Haves

Experienced in 0→1 MVP development, iterative prototyping, and evolving prototypes into production-grade systems.
Passionate about staying up to date with industry news, AI development trends, tools, and best practices.
Knowledgeable about SDLC best practices and actively experiments with and adopts modern AI development tools and patterns.
An excellent communicator with the ability to work effectively in cross-functional settings and translate business needs into technical solutions.

Responsibilities

Build, and own end-to-end Data & AI platform (Databricks,AWS or other tech stack) from ideation , prototyping , production deployment and monitoring.
Architect and scale company-wide GenAI capabilities to support domain-specific business AI Agents that are embedded into real operational workflows.
Provide documentation and support to business users to deploy and manage AI agents at scale.
Lead platform investments in areas like RAG infrastructure, embedding pipelines, LLM orchestration, and multi-modal data processing.
Serve as a technical anchor and mentor for the broader AI & Data team, raising the engineering bar across the organization.
Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment.
Apply and scale software engineering excellence, including reliability, observability, and maintainability of production data & AI systems.