Job Title: AI Automation Engineer
Location: Hybrid (1 day remote) - Port Chester, New York
Salary: $90,000-$120,000
Skills: 2+ years of real-world experience deploying AI-driven automations, LLM-based engineering tools in a production environment.
Overview:
This is a hands-on AI Automation Engineer role at a well-capitalized, publicly traded real estate investment organization with a sophisticated national footprint. The position offers a rare opportunity to work directly with business leaders across multiple functions to design, pilot, and deploy agentic AI and LLM‑driven automation that has immediate, visible impact on how the organization operates and makes decisions.
The role sits at the intersection of AI, intelligent workflow automation, and internal tooling, with meaningful ownership over AI agents, decision-support systems, and automation initiatives in a real production environment. Ideal for someone eager to move beyond experimentation, this position offers exposure to complex, real-world business challenges, strong executive sponsorship, and the chance to help shape the organization’s long-term AI strategy from the ground up within a stable yet forward‑thinking enterprise.
Responsibilities:
- Collaborate with internal departments to identify and prioritize areas where agentic AI can eliminate manual tasks and streamline processes.
- Design, prototype, and deploy AI agents to assist team members and automate internal decision workflows.
- Build analytics models, reporting tools, and dashboards utilizing LLM insights for enhanced business decisions.
- Research and evaluate emerging agentic AI models, frameworks, and platforms to guide the organization’s AI strategy.
- Document AI architectures, solutions, and workflows for internal knowledge sharing and governance.
- Lead pilot programs and proof-of-concept projects related to agentic AI adoption across the business.
Must-Have Skills:
- Bachelor's degree, preferably in Computer Science, Engineering, or a related field.
- 2+ years of real-world experience deploying AI-driven automations and using LLM-based engineering tools in a production environment.
- Proficiency with LLM-based engineering tools in deployed workflows.
- Familiarity with workflow automation tools.
- Strong communication and analytical skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Business-mindset with the ability to influence and drive change.
- Experience troubleshooting and problem-solving in technical environments.
- Self-motivated with demonstrated desire to deepen expertise in agentic AI and automation.
