Job description

We are Lennar   Lennar is one of the nation’s leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.   A Career that Empowers You to Build Your Future The AI Agent Developer designs, builds, deploys, and maintains intelligent AI agents that transform how Lennar operates across our corporate functions. Embedded directly with the teams you serve, you will sit alongside Associates to learn their workflows firsthand, then translate what you see into production-grade agents that enhance productivity, streamline operations, and enable data-driven decision making. Working at the intersection of business strategy, AI engineering, and user experience, you will partner closely with product owners, engineers, and function leaders — and carry what you learn in the field back into Lennar’s enterprise AI roadmap.   Your Responsibilities on the Team Embed directly with corporate function teams : shadowing Associates, mapping how work actually gets done, and partnering with product owners, business analysts, and engineers to scope high-impact AI agent use cases. Serve as a n AI advisor to function leaders : presenting recommendations, framing trade-offs and risks in business terms, and building the confidence that moves teams from curiosity to committed adoption. Design agent personas, roles, and workflows, including decision logic, triggers, escalation paths, and human-in-the-loop rules. Build and configure AI agents using LLMs, retrieval-augmented frameworks, orchestration tools, and relevant APIs, integrating them with internal systems, data sources, and external services. Develop robust prompt engineering strategies, tool invocations, memory and context management, and monitoring mechanisms so agents act effectively and reliably. Deliver working prototypes and live demos early and often, using rapid feedback from business partners to shape each agent well before it reaches production. Test, iterate, and validate agent behavior under real-world conditions through unit tests, scenario simulations, edge-case handling, and performance and safety monitoring. Deploy agents into production environments and establish observability through logs, metrics, and usage dashboards, along with versioning, drift detection, and lifecycle management. Maintain agents post-deployment by refining prompts, tuning models, and improving workflows, while championing adoption through Associate training, enablement materials, user guides, and change logs. Ensure governance, compliance, security, and ethical considerations are built into agent design, including data access, audit trails, output safety, and escalation protocols. Track and report the measures that prove value , hours returned, cycle time reduced, quality improved , and bring field learnings back to the enterprise as reusable patterns and best practices. Your Toolbox Bachelor’s degree in Computer Science , Engineering, Information Systems, Data Science, Business Analytics, AI, or a related technical field; advanced degree preferred. 2–4 years of experience in software engineering, AI/ML development, or automation, with at least one year working with LLMs and conversational AI. Consultative mindset with genuine curiosity about how the business actually works , and the patience to sit with Associates until the real problem surfaces. Excellent communication and presentation skills, with the ability to demo working solutions to non-technical audiences and translate complex business requirements into functional AI workflows. Strong programming proficiency in Python and/or JavaScript/TypeScript, with demonstrated ability to build production-ready applications. Proficient SQL skills for querying, transforming, and joining complex enterprise datasets across multiple systems. Working understanding of AI agent concepts including LLMs, retrieval-augmented generation (RAG), prompt engineering best practices, and agent orchestration frameworks; familiarity with LangChain , LlamaIndex , function-calling patterns, Model Context Protocol (MCP), or multi-agent architectures is a plus. Experience with cloud platforms, particularly AWS services such as Lambda, S3, and Bedrock, plus hands-on experience with Claude, Codex, GitHub, and Spotify Backstage ; agentic coding tools such as Claude Code or Codex preferred. Experience designing for production environments including scalability, reliability, monitoring, error handling, and performance optimization; MLOps practices such as model monitoring, drift detection, and A/B testing are a plus. Understanding of responsible AI principles and hands-on experience implementing safety guardrails, with the discretion to handle sensitive Associate and business information; familiarity with enterprise systems such as Workday, ServiceNow, and Docebo preferred. Physical & Office/Site Presence Requirements: This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities, and activities may change at any time with or without notice. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. #LI-KB2 Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life s critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone’s Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar’s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits. Join the fun and follow us on social media to see what s happening at our company, and don t forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Requirements

Must-haves

We are Lennar
A Career that Empowers You to Build Your Future
Your Responsibilities on the Team
Embed directly with corporate function teams : shadowing Associates, mapping how work actually gets done, and partnering with product owners, business analysts, and engineers to scope high-impact AI agent use cases.
Serve as a n AI advisor to function leaders : presenting recommendations, framing trade-offs and risks in business terms, and building the confidence that moves teams from curiosity to committed adoption.
Design agent personas, roles, and workflows, including decision logic, triggers, escalation paths, and human-in-the-loop rules.
Build and configure AI agents using LLMs, retrieval-augmented frameworks, orchestration tools, and relevant APIs, integrating them with internal systems, data sources, and external services.
Develop robust prompt engineering strategies, tool invocations, memory and context management, and monitoring mechanisms so agents act effectively and reliably.
Deliver working prototypes and live demos early and often, using rapid feedback from business partners to shape each agent well before it reaches production.
Test, iterate, and validate agent behavior under real-world conditions through unit tests, scenario simulations, edge-case handling, and performance and safety monitoring.
Deploy agents into production environments and establish observability through logs, metrics, and usage dashboards, along with versioning, drift detection, and lifecycle management.
Maintain agents post-deployment by refining prompts, tuning models, and improving workflows, while championing adoption through Associate training, enablement materials, user guides, and change logs.
Ensure governance, compliance, security, and ethical considerations are built into agent design, including data access, audit trails, output safety, and escalation protocols.
Track and report the measures that prove value , hours returned, cycle time reduced, quality improved , and bring field learnings back to the enterprise as reusable patterns and best practices.
Your Toolbox
2–4 years of experience in software engineering, AI/ML development, or automation, with at least one year working with LLMs and conversational AI.
Consultative mindset with genuine curiosity about how the business actually works , and the patience to sit with Associates until the real problem surfaces.
Excellent communication and presentation skills, with the ability to demo working solutions to non-technical audiences and translate complex business requirements into functional AI workflows.
Strong programming proficiency in Python and/or JavaScript/TypeScript, with demonstrated ability to build production-ready applications.
Proficient SQL skills for querying, transforming, and joining complex enterprise datasets across multiple systems.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Nice-to-haves

Bachelor’s degree in Computer Science , Engineering, Information Systems, Data Science, Business Analytics, AI, or a related technical field; advanced degree preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonjavascripttypescriptsqlaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Parental Leave