AI Automation Engineer
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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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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