[Hiring] AI Automation Engineer @Lookout

Role 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: Responsible for architecting and deploying 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, re-engineering processes to be compatible with LLMs and agents.
• Systems Integration & Orchestration: 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.
• Influence Internal AI Strategy: Identify high-value use cases for multi-step agentic automation.
• Governance & Maintenance: Own the lifecycle of internal agents, ensuring they remain secure and functional as APIs and business rules evolve.

Qualifications

• Proven experience building AI Agents with orchestration tools (N8N, LangChain, Flowise, or similar) and direct usage of LLM APIs (Gemini, OpenAI, Anthropic).
• Strong Scripting/Technical Skills in Python or JavaScript for custom logic and API authentication.
• Business Systems Fluency with the ability to learn data structures of complex enterprise SaaS platforms.
• Process Engineering Mindset with experience mapping business workflows and redesigning processes for an AI-first approach.
• Resilience in Debugging with a high tolerance for trial and error in agent development.
• 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.

Requirements

• 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

The Canadian base salary range for this full-time position is available below. We offer base + bonus + equity + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Canadian role postings reflect the base salary only, and do not include bonus, equity, or benefits.