This role involves working as an Automation & AI Co-op. Number of Positions: 1 Date: May 2026 – May 2027 Duration: 10 months Location: Remote - US

This role involves spearheading the internal Agentic AI revolution at Lookout, Inc. 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. Dissect requests from departments like Finance or Legal and re-engineer their processes for compatibility with LLMs and agents. Act as the bridge between non-technical stakeholders and AI capabilities. Dissect requests from departments like Finance or Legal and re-engineer their processes for compatibility with LLMs and agents. 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 security, cost-effectiveness, and functionality. Own the lifecycle of internal agents, ensuring security, cost-effectiveness, and functionality.

We’re looking for a Creative Technologist who lives at the intersection of AI, automation, and creative problem-solving. This isn’t a “I use ChatGPT sometimes” role—we need someone who understands how large language models actually work, can architect end-to-end workflows, and knows when AI meaningfully saves time versus when it’s just a shiny distraction. You’ll work directly with the Head of Creative Technology to translate complex creative needs into repeatable, scalable systems. Design, build, and maintain AI-powered workflows that support creative teams across the agency Advise on where AI meaningfully saves time or elevates craft—and push back when it doesn’t Translate creative briefs and production needs into repeatable, documented systems Prototype new tools and processes, test them in real workflows, and hand stable solutions off to production teams Scout and evaluate AI vendors, models, and platforms—separating signal from hype Run creative QA on AI-generated outputs to ensure quality and brand consistency Maintain clear documentation for every tool, workflow, and system you build Act as a buffer between leadership vision and day-to-day execution, keeping work moving and teams unblocked

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we’re adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our “shift left” strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Responsible AI & Compliance Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines) Ensure Model Quality, Evaluation, Security & Safety Implement Observability, Operations excellence Drive Architecture, Governance & Engineering Standards Cross Functional Leadership & Collaboration