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JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Senior AI Engineer – Gen AI Developer (Audit Function)JLL Technologies
- Centre of Expertise (Mexico)About JLL
JLL is an international real estate management company known for driving positive change across the industry. Join our Centre of Expertise (CoE) to be part of a diverse, global team committed to delivering technology-led solutions at scale.
About the Role: #JLLTech Ambitions
JLL seeks a Senior AI Engineer specializing in Gen AI tools and intelligent agent development to automate and enhance the Corporate General Internal Audit function. You will architect, build, and maintain advanced AI solutions, collaborating with audit stakeholders, data scientists, and IT teams in a fast-paced, cross-functional environment. We expect a self-starter with proven technical depth, strong data science foundation, and leadership ability, ready to contribute immediately and help shape the audit technology landscape at JLL.
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Partner with Internal Audit leaders, business users, and JLL Technologies teams to analyze audit processes and identify automation opportunities using generative AI.
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Architect, develop, and deploy Gen AI models and intelligent agents for audit workflow automation, anomaly detection, risk assessment, report generation, and other critical internal audit functions.
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Implement solutions that ensure the security, integrity, and scalability of audit data and processes.
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Create and maintain audit dashboards and AI-driven reporting tools to enable data-driven decision-making.
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Integrate Gen AI solutions with enterprise platforms and third-party applications such as ERP systems, GRC tools, and data lakes via RESTful APIs or other integration methods.
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Solve complex problems in an agile environment and provide technical leadership to other engineers.
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Apply data science methodologies including statistical analysis, predictive modeling, and machine learning to audit data for insights and automation.
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Monitor performance, usage, and compliance of all Gen AI audit automation tools, ensuring robust change management and auditability.
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Stay abreast of emerging Gen AI technologies and ensure JLL’s audit automation solutions remain at the forefront of industry standards.
Responsibilities: Sound like you? To apply you need to be / have:
Experience & Education:
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
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Minimum of 7+ years' experience in machine learning, AI engineering, or data science, with at least 3 years in Gen AI model development and solution deployment.
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Full stack development experience, including frontend and backend technologies as well as integration across multiple layers of web applications.
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Experience with DevOps practices, CI/CD pipelines, and infrastructure automation to support development and deployment of AI solutions.
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Cloud experience with platforms such as AWS, Azure, or Google Cloud, particularly in deploying and managing AI/ML workloads.
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Demonstrated ability to lead and mentor engineering teams and manage global stakeholders across multiple initiatives.
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Previous experience automating processes in risk, compliance, or audit functions is highly desirable.
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Effective written and verbal communication skills, including technical writing.
Mandatory Skills & Competencies:
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Deep understanding of Gen AI frameworks (e.g., OpenAI, Google Vertex AI, Azure OpenAI, Hugging Face Transformers).
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Strong programming skills in Python, and familiarity with modern ML/AI libraries (Tensor Flow, Py Torch, Lang Chain, etc.).
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Experience in developing, fine-tuning, and deploying LLMs or similar Gen AI models.
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Proven track record of workflow automation and process mining using AI.
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Proficiency in integrating AI solutions with enterprise systems via RESTful APIs, webhooks, or event-driven architectures.
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Good understanding of security, compliance, and data governance best practices in AI solution development.
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Proficiency in data science tools and libraries (pandas, Num Py, scikit-learn, Sci Py) and experience with data visualization tools (Matplotlib, Seaborn, Plotly).
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Experience with Amazon Bedrock Agent Core for building, managing, and deploying intelligent agents.
What we can do for you:
At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2025 World’s Most Ethical Companies for the 18th consecutive year.
Apply today!Location:
On-site –Jalisco,MEX
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
JLL Privacy Notice
Jones Lang La Salle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.
Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Jones Lang LaSalle ("JLL") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a HRSCLeaves@jll.com. Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.
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About JLL

JLL
PublicJones Lang LaSalle Incorporated (JLL) is an American real estate services company headquartered in Chicago. The company has offices in 80 countries.
10,001+
Employees
Chicago
Headquarters
Reviews
3.2
10 reviews
Work-life balance
2.5
Compensation
2.8
Culture
3.2
Career
3.5
Management
2.3
35%
Recommend to a friend
Pros
Good coworkers and supportive team members
Learning opportunities and skill development
Supportive management (when present)
Cons
Poor management treatment and unprofessional behavior
Low pay relative to workload
Frequent layoffs and job instability
Salary Ranges
0 data points
Junior/L3
Intern
Junior/L3 · Data Scientist
0 reports
$120,000
total per year
Base
$120,000
Stock
-
Bonus
-
$102,000
$138,000
Interview experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer rate
29%
Experience
Positive 14%
Neutral 43%
Negative 43%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Case Study/Technical Assessment
5
Final Interview/Presentation
6
Offer
Common questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Real Estate/Industry Specific
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