Senior AI Platform Engineer
New
S
SamsaraConnected Operations Cloud
This role is open to candidates residing in the US except Alaska, Austin Metro, Boulder Metro, California, Chicago Metro, Connecticut, Dallas Metro, Denver Metro, Houston Metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Seattle Metro, and Washington, D.C.Full-TimeSenior
Salary134,470 - 180,800 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years of industry experience in software engineering or data platform development
- Required Skills
- AWSPythonSoftware EngineeringDatabricksPrompt EngineeringGenerative AILangChain
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.
- 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).
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.
View Full Description & ApplyYou'll be redirected to the employer's site
