AI Engineer

ARLP GS LLC • Rye, NY

1d • $85,000 - $95,000 • Onsite

About The Position

Acadia (NYSE:AKR), headquartered in Rye, New York, Acadia Realty Trust (NYSE:AKR) is an equity real estate investment trust focused on delivering long-term, profitable growth via its dual – core and investment management – platforms.

Our energized team is accomplishing this goal by building a best-in-class, location-driven core real estate portfolio with meaningful concentrations of assets in the nation’s most dynamic urban and street-retail corridors, including those in New York, Chicago, Los Angeles, San Francisco, Washington DC, Dallas, and Boston. At the same time, we manage opportunistic and value-add investments through our investment management platform.

Acadia
is seeking an
Applied AI & Automation Engineer to partner with internal teams to develop and deploy agentic AI solutions across the organization. This role focuses on evaluating, designing, and implementing AI agents, intelligent workflow automation, and Large Language Model (LLM)-driven tools that streamline business operations and support data-driven decision making.

This position is ideal for a technically curious engineer with practical, hands-on experience applying machine learning and agentic AI technologies to produce real business solutions.

This is a full-time position based in the Company's corporate office in Rye, New York.

Requirements

• Bachelor's degree required, preferably in Computer Science, Engineering, or a related discipline.
• 2-3 years of hands-on experience working with agentic AI automation platforms, LLM-based engineering tools, or machine learning technologies in production environment, not solely experimental or academic use.
• Demonstrated proficiency with LLM-based engineering tools such as Claude Code, Cursor, or GitHub Copilot in deployed, production-grade workflows.
• Familiarity with workflow automation tools such as Microsoft Power Automate.
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong analytical, problem-solving, and troubleshooting skills.
• Self-motivated with a genuine desire to expand expertise in agentic AI and automation.

Nice To Haves

• Applicable certifications in cloud platforms (GCP, AWS), AI/ML, or security.
• Strong interest in the broader landscape of artificial intelligence and autonomous systems.

Responsibilities

• Collaborate with internal teams across departments to identify and prioritize opportunities where agentic AI can eliminate manual effort and streamline processes.
• Design, prototype, and deploy AI agents capable of assisting team members and automating internal decision workflows.
• Build reporting tools, analytics models, and dashboards that leverage LLM-driven insights to support business decisions.
• Research and evaluate emerging agentic AI models, frameworks, and platforms to inform the organization's AI roadmap.
• Document AI solutions, architectures, and workflows for internal knowledge sharing and governance.
• Lead pilot programs and proof-of-concept initiatives related to agentic AI adoption across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level