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AI and LLM Lead
Prologis
Identify, design, and execute AI-driven solutions with a focus on large language models to create transformative applications across business units in real estate industry.
20d ago
$135,000 - $190,000
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Cerritos, CA
Office Full-Time
Company Size
10,000 Employees
Service Specialisms
Property Development
Design
Engineering
Construction services
Project Management
Consulting
Architecture
Turnkey
Sector Specialisms
Industrial
Logistics
Warehouses
Distribution
Supply Chain
Electric Vehicle Fleet Management
Hydrogen Fueling
E-commerce
Role
What you would be doing
application development
model development
continuous improvement
insight communication
deployment & monitoring
cross-functional collaboration
- LLM Application Development: Design and implement LLM powered applications, tailored to solve real estate-specific challenges (e.g., lease abstraction, tenant communication, investment memo summarization). Craft prompts, fine-tune domain-specific models, or create retrieval-augmented generation pipelines that boost productivity or customer experience.
- Continuous Improvement: Stay current on emerging algorithms and tooling; propose POCs that can raise model accuracy, reduce latency, or lower cost.
- Insight Communication: Distill findings into clear narratives and visualizations; present recommendations to technical and non-technical stakeholders.
- Lead AI Project Lifecycle: Own the end-to-end process from ideation and stakeholder engagement to deployment and post-launch evaluation of AI and LLM initiatives.
- Business Use Case Translation: Collaborate with business leaders to translate strategic goals into AI opportunities. Engage with functional leads to clarify requirements, convert them into analytical hypotheses, rapidly prototype and iterate solutions.
- Technical Guidance: Provide peer mentorship, code and architecture reviews, and technical best practices to elevate the broader team’s capabilities
- Deployment & Monitoring: Work with MLOps and engineering teams to deploy models into production environments, establish monitoring frameworks, and continuously improve solution performance.
- Cross-Functional Collaboration: Act as a bridge between product, engineering, data, and business teams to align AI solutions with user needs and technical feasibility.
- Model Development & Deployment: Execute the full data-science workflow—including EDA, feature engineering, model selection, validation, and monitoring—adhering to team coding and documentation standards.
What you bring
ai/ml
cloud
mlops
vector
python
llms
- Proven success owning and delivering cross-functional AI/LLM projects from start to finish.
- Solid understanding of cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Hands-on experience fine-tuning or integrating LLMs such as GPT, LLaMA, Claude, Gemini, etc.
- Experience with vector databases (e.g., FAISS, Pinecone), embeddings, and RAG architectures.
- Proficient in Python (pandas, scikit-learn, PyTorch/TensorFlow, Langchain etc), SQL, and version control.
- Solid grounding in supervised, unsupervised, and deep learning techniques plus model-evaluation best practices.
- 3+ years of hands-on experience in applied AI/ML development (1-2 years with advanced STEM degree), with at least 2 years focusing on LLMs or NLP-related technologies.
- Demonstrated ability to convert business questions into deployable ML solutions and explain results to non-experts.
- Experience working in or supporting real estate, logistics, finance, or other asset-heavy industries is a plus.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Visa SponsorshipInformation not given or found
Security clearance- all job offers are contingent upon successful completion of background verification.
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Company
Overview
Founded in 1983
Year Established
The company was established in 1983, marking the beginning of its global logistics real estate leadership.
19 Countries
Global Presence
Prologis maintains a widespread portfolio across 19 countries, ensuring a robust global network.
Ranked #500
Market Performance
The company is part of the prestigious S&P 500 index, reflecting its strong financial standing in the market.
- Provides prime distribution centers and warehouses for industries like retail, e-commerce, automotive, and technology.
- Focuses on designing and managing large-scale logistics facilities that support global supply chains.
- Leverages innovative technologies to optimize warehouse operations and drive efficiency for tenants.
- Expands its footprint through strategic acquisitions in key logistics hubs worldwide.
- Develops sustainable and adaptable logistics environments for future growth.
- Known for quickly adapting to changing market demands, ensuring resilience in operations.
- Integrity: We are honest, ethical, and committed to doing the right thing in everything we do.
- Excellence: We strive to achieve the highest standards, and continually raise the bar in all our work.
- Collaboration: We work as a team, respecting and valuing each other's perspectives.
- Innovation: We embrace new ideas, drive continuous improvement, and challenge the status quo.
- Sustainability: We are dedicated to advancing a sustainable future by building the most environmentally responsible properties.
5.8M sq ft
Net-Zero Carbon Buildings
Prologis has completed 5.8 million square feet of net-zero carbon buildings as of 2023, showcasing significant progress in sustainable infrastructure.
25%+
Renewable Energy Usage
Over 25% of the energy used in its global portfolio comes from renewable sources, reflecting a strong commitment to clean energy integration.
100% LEED
LEED Certification Target
Aims to have 100% of its buildings certified under the LEED standard or equivalent by 2030, ensuring high environmental performance across its portfolio.
Net Zero by 2040
Carbon Emissions Goal
Committed to achieving net zero carbon emissions by 2040, emphasizing long-term sustainability and climate action.
- Focus on reducing carbon footprint through renewable energy integration, sustainable design, and operational improvements.
40% Global Leadership
Women Representation
Women represent 40% of the company's global leadership team as of 2023.
50% Diversity Goal
New Hires Target
Aim to achieve 50% gender diversity in new hires by 2025.
2025 Target Date
Gender Parity Goal
Aim to achieve gender parity in global leadership by 2025.
Annual Reporting
Diversity Metrics
Provides annual reporting to ensure accountability and track progress in diversity initiatives.
- A comprehensive employee resource group program supports diverse backgrounds and experiences.
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