AI Automation Engineer

Saved job description

The AI Automation Engineer is responsible for designing and implementing AI-driven automation solutions, leveraging large language models (LLMs), using platforms such as n8n, Databricks, Claude, CoPilot, and Microsoft Foundry to build agentic workflows that improve operational efficiency and decision-making.

Reporting Structure:

Reports to: VP of IT

Aligned to: Decision Intelligence / AI function

Core Responsibilities:

Design and build AI-powered workflows using tools such as n8n, APIs, and LLM platforms

Develop and optimize prompts for reliable outputs and agent behavior

Orchestrate multi-step AI agents across systems (email, CRM, data platforms, etc.)

Integrate enterprise systems using APIs, webhooks, and automation frameworks

Implement human-in-the-loop controls and AI governance guardrails

Prototype high-impact use cases and scale into production solutions

Collaborate with team members and stakeholders to deliver projects in line with specifications and deadlines.

Monitor performance, accuracy, and cost of AI workflows

Qualifications:

2–5 years' experience in automation, software development, or AI tools

Experience with Python or JavaScript

Hands-on experience with automation / pipeline tools (Data Factory, n8n, Power Automate, Zapier, etc.)

Experience with AI/LLM tools / agents (Copilot, OpenAI, Fabric Studio, Claude Managed Agents / SDK, etc.)

Strong problem-solving and systems thinking skills.

Brixmor offers a hybrid work schedule (first three days of the week in the office, the balance remote optional), very competitive pay commensurate with background and responsibilities plus a benefits and perks package that supports career engagement, growth, good health and connection with teammates and our communities.

EOE (Brixmor is an Equal Opportunity Employer)

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