Instacart is looking for an AI Automation Analyst to design, architect, and scale intelligent automation solutions that transform how our Commercial organization operates. The role is ideal for someone with 3–6 years of experience in data engineering, automation, or platform engineering who wants to lead AI initiatives at the intersection of technology, integrations, and business enablement.
Requirements
- Lead technical strategy and architecture for AI automation across the Commercial organization, identifying high-ROI opportunities and translating business requirements into scalable solutions.
- Design and build production-grade AI tools that understand natural language, provide actionable insights, generate reports, and automate complex workflows such as campaign planning, ticket management, and sales enablement.
- Architect reliable, scalable integrations across internal systems and third-party SaaS (REST/GraphQL APIs, webhooks, OAuth, JWT), establishing best practices for rate limiting, retries, idempotency, and error handling.
- Lead development of multi-step AI agent architectures using frameworks like LangChain, LangGraph, or MCP, with appropriate human-in-the-loop controls and production-ready evaluation.
- Establish and enforce AI safety and reliability standards including guardrails, evaluation frameworks, fallback logic, RBAC, audit trails, and PII protections across all AI systems.
- Design and optimize data pipelines (SQL, Python, dbt) that power AI agents at scale, ensuring reliability, observability, and performance.
- Create frameworks and templates for rapid prototyping and deployment of new automations, enabling faster time-to-value for future projects.
- Drive adoption by building intuitive UIs and self-serve experiences (e.g., Slack apps, low-code internal tools) and creating documentation that makes AI tools accessible to non-technical users.
- Partner with Sales, Partnerships, Product, Engineering, and Data Science leadership to prioritize initiatives, align on roadmaps, and ensure solutions drive measurable business outcomes.
- Mentor and guide other engineers on AI/LLM best practices, prompt engineering, evaluation frameworks, and production deployment patterns.
- Champion DevOps excellence including CI/CD, automated testing, observability, alerting, and incident response.
- Enforce security and compliance best practices across all automations and data workflows.
- Measure and communicate impact through clear metrics tied to business outcomes (time saved, revenue enabled, efficiency gains).
Benefits
- Flexible work arrangements
- Market-competitive compensation and benefits
- New hire equity grant
- Annual refresh grants
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
