Position Objective:
The Senior Gen Artificial Intelligence (AI) Engineer leads the design, development, and deployment of enterprise-grade AI-powered applications that leverage Large Language Models (LLMs) including Claude (Anthropic) and ChatGPT/OpenAI models within a Microsoft Azure and Databricks environment. This role serves as a technical authority, driving architectural decisions, mentoring engineering peers, and partnering with business stakeholders to translate complex requirements into scalable, production-ready AI solutions that deliver measurable impact across leasing, operations, and property management domains.
Job Responsibilities: (OTHER DUTIES MAY BE ASSIGNED)
Architect, develop, and own end-to-end delivery of enterprise AI-powered applications using Claude, ChatGPT, OpenAI APIs, Anthropic APIs, and other LLM platforms, establishing reusable patterns and engineering standards for the team.
Lead the design and implementation of intelligent agents, copilots, agentic workflows, and knowledge management systems; define architectural guardrails and review implementations across the engineering team.
Lead front-end architecture decisions and build highly scalable applications using React, Next.js, Angular, or similar frameworks; enforce coding standards, accessibility, and performance benchmarks.
Design and govern secure authentication, authorization, and user management systems across AI application surfaces, ensuring compliance with organizational security standards.
Champion user experience quality by developing and reviewing responsive interfaces that enable intuitive, high-performance interaction with AI systems.
Drive advanced prompt engineering, multi-step agent workflow design, memory and context management, and Model Context Protocol (MCP)-based tool integrations; establish evaluation frameworks and best practices adopted across the engineering organization.
Own AI model performance evaluation and optimization programs, defining benchmarks for accuracy, latency, cost, and user experience; lead trade-off decisions and communicate findings to technical and non-technical stakeholders.
Architect and develop robust, scalable backend services using Python frameworks such as FastAPI, Flask, or Django; define service boundaries, data contracts, and resilience patterns for AI-integrated systems.
Lead design and governance of RESTful APIs and microservices that expose AI capabilities; establish API standards, versioning strategies, and documentation practices for the engineering team.
Create secure authentication, authorization, and user management systems.
JOB CODE:IT138
WORKERS COMP CLASS: 8810
VERSION:1
MONTH/YEAR:JULY 2026
Develop responsive user interfaces that enable seamless interaction with AI systems.
Lead integration strategy across enterprise systems, databases, APIs, CRMs, and SaaS platforms; evaluate build-vs-buy decisions and ensure integration patterns are maintainable and well-documented.
Architect and oversee connectivity of AI solutions to structured and unstructured data sources, including vector stores, data lakehouses, and real-time event streams; ensure data quality, lineage, and governance standards are met.
Supervisory Responsibilities:
May assist in supervision as requested including interviewing, hiring and training employees, planning/assigning specific tasks related to assigned projects.
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