Senior AI Platform Engineer

Samsara is a pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data for improved operations. They are seeking a Senior AI Platform Engineer to build and scale their Enterprise AI platform, collaborating with cross-functional teams to integrate AI-driven features into business workflows.

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

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)
• 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