Artificial Intelligence Engineer

Role Summary

The AI Engineer – Integrations & Automation will design, build, and maintain AI‑driven automations and integrations that reduce manual work and improve operational efficiency across the organization. This role sits at the intersection of AI platforms, internal systems, and business workflows. This is a remote position.

Key Responsibilities

• Automation of complex workflows: Design, build, and maintain automated processes leveraging tools such as Zapier, Glean, or custom Python-based automation frameworks.
• Systems integration: Develop, implement, and document internal APIs to connect AI services with existing enterprise applications (e.g., Google Workspace, Salesforce, internal SaaS platforms).
• Agentic infrastructure: Integrate platforms such as Glean, OpenAI, and Perplexity into operational pipelines to enable multi‑agent orchestration and intelligent decisioning.
• Cross-functional delivery: Partner with Finance, HR, Editorial, Events, and other teams to translate operational needs into scalable technical solutions.
• Scalable solutions: Propose and implement integration architectures that reduce manual workflows, increase efficiency, and ensure long‑term reliability.
• Documentation & knowledge transfer: Maintain detailed technical documentation of workflows, decision logic, and system connections for internal knowledge sharing.
• Future-proofing: Evaluate emerging AI and LLM tooling to identify opportunities for continuous improvement of enterprise operations.

Basic Qualifications

• Strong experience with Python and at least one automation / integration platform (e.g., Zapier, n8n, custom orchestration frameworks).
• Proven background building APIs, integrations, or backend services that connect multiple SaaS systems.
• Hands-on exposure to LLM / AI platforms (OpenAI, Anthropic, Perplexity, etc.).
• Solid understanding of REST APIs, webhooks, authentication, and event-driven architectures.
• Ability to work directly with non‑technical stakeholders to clarify requirements and deliver usable solutions.

Nice to Have

• Experience with Glean (search, knowledge, and/or agentic workflows).
• Familiarity with Google Workspace and Google Cloud tools (e.g., BigQuery, Vertex AI, or similar).
• Experience with Claude or other state-of-the-art LLMs.
• Experience in enterprise environments (identity, security, compliance).

Prior work with multi‑agent systems, RAG pipelines, or observability for AI workflows