AI Business Systems Analyst

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500

Location

United States

Posted

46 days ago

Salary

Not specified

No structured requirement data.

Job Description

This role involves spearheading the internal Agentic AI revolution within Lookout's R&D organization. You will be the primary architect responsible for operationalizing AI across various business functions. Design, Build and Maintain Agentic Workflows: Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Translate Business Needs to AI Logic: Act as the bridge between non-technical stakeholders and AI capabilities, understanding requests from departments like Finance or Legal. Act as the bridge between non-technical stakeholders and AI capabilities, understanding requests from departments like Finance or Legal. Systems Integration & Orchestration: Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Data Strategy for Agents: Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Influence Internal AI Strategy: Identify high-value use cases for multi-step agentic automation. Identify high-value use cases for multi-step agentic automation. Governance & Maintenance: Own the lifecycle of internal agents, ensuring they remain secure, cost-effective, and functional. Own the lifecycle of internal agents, ensuring they remain secure, cost-effective, and functional.

Job Requirements

  • Proven experience building AI Agents with orchestration tools (N8N, LangChain, Flowise, or similar).
  • Strong Scripting/Technical Skills in Python or JavaScript.
  • Business Systems Fluency with complex enterprise SaaS platforms.
  • Process Engineering Mindset with experience mapping business workflows.
  • Resilience in Debugging with a high tolerance for trial and error.
  • Communication Skills to explain technical concepts to non-technical stakeholders.
  • 3+ years of technical experience in software engineering, technical product management, or business systems analysis.
  • Experience specifically with Google Cloud Platform, Gemini, and N8N workflow automation.
  • Familiarity with enterprise automation platforms.
  • Background in cybersecurity or experience in a security-conscious environment.
  • Experience with Vector Databases and RAG (Retrieval-Augmented Generation) patterns.

Benefits

  • Base salary range: $130,000 - $160,000 USD.
  • Base + bonus + equity + benefits.

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