AI Architect - GTM Systems

Hidden Jobs; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Samsara is seeking an AI Engineer in the United States (excluding San Francisco and New York) to shape AI-powered automation across go-to-market systems. You will own architecture choices for low-code automation, custom AI agents, and backend services in a senior IC role.

You will prototype solutions, define reusable patterns, and collaborate with GTM engineers, operations, and stakeholders to translate business priorities into concrete roadmaps while raising engineering standards.

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/engineering.
• 10+ years in software engineering with production backend shipping.
• 3+ years in technical leadership.
• Experience building and deploying AI agents used by real end users.
• Hands-on with agent frameworks and RAG with vector stores.
• Strong Python and/or Node.js backend skills with FastAPI or similar.
• Excellent communication to gather requirements and convert to buildable solutions.

Responsibilities

• Set architecture standards for low-code automation vs custom AI agents.
• Design and prototype production-grade AI agents and services.
• Partner with GTM engineering and stakeholders to roadmaps with trade-offs.
• Define reference architectures, observability, governance for AI systems.
• Conduct architecture reviews and address systemic risks.
• Document decisions and share technical guidance in internal docs.

Skills

Python/Node.js backend

AI agent development

Cloud-native services

Asynchronous design

Communication skills

Education

Bachelor’s degree in computer science or related field

Tools

LangGraph

LangChain

CrewAI

LlamaIndex

Vector stores

Retrieval

Embeddings

Job description

AI Engineer United States, excluding San Francisco and New York

Job details

United States, excluding San Francisco and New York Eligibility

Senior Experience

Not specified Employment

About this role

Role overview

Define the technical direction for AI-powered automation across go-to-market systems. This senior individual-contributor role spans low-code workflow tools, custom AI agents, backend services, and enterprise governance. You will translate business priorities into architectural blueprints, prototype solutions yourself, establish reusable patterns, and raise the engineering standard for systems used across sales and revenue operations.

Responsibilities

• Set architecture standards for choosing between low-code automation, custom agentic workflows, and integrated hybrid solutions.
• Design and prototype production-grade AI agents and the surrounding services, data flows, and cloud infrastructure.
• Partner with GTM engineering leaders, operations teams, and senior business stakeholders to turn strategic goals into roadmaps with trade-offs, timelines, and success measures.
• Define reference architectures, evaluation approaches, observability practices, and governance controls for AI-powered systems.
• Conduct architecture reviews, identify systemic risks, and provide structured feedback that improves design quality across the engineering organization.
• Document decisions and share technical guidance through architecture records, white papers, engineering wikis, and related internal materials.

Requirements

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
• At least 10 years of software engineering experience, including a track record of shipping production backend systems and at least three years in a technical leadership capacity.
• Demonstrated personal experience building and deploying an AI agent used by real end users, with the ability to explain its problem, design, implementation, and outcome.
• Hands-on knowledge of agent frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or equivalent, plus practical RAG experience with vector stores, retrieval, chunking, and embeddings.
• Strong Python and/or Node.js backend skills, including FastAPI or comparable frameworks, asynchronous design, event-driven systems, and cloud-native services.
• Excellent communication skills for extracting requirements from non-technical stakeholders and converting them into buildable solutions.

Nice to have

• Experience with LLM evaluation and tracing tools, MCP or FastMCP, LiteLLM, Salesforce data, GTM or RevOps workflows, and AWS Bedrock.
• Familiarity with model-provider behavior, prompt engineering, full-stack development, serverless systems, or mentoring and hiring engineers.

Benefits and work setup

• Remote role open to candidates in the United States, excluding San Francisco and New York.
• No relocation assistance is provided.