JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
About JLL
We’re JLL. We’re a professional services and investment management firm specializing in real estate. We help organizations around the world achieve their ambitions by owning, occupying and investing in real estate.
If you’re looking to step up your career, JLL is the perfect professional home. At JLL, you’ll have a chance to innovate with the world’s leading businesses, put that expertise into action on landmark projects, and work on game-changing real estate initiatives. You’ll also make long-lasting professional connections through sharing different perspectives, and you’ll be inspired by the best. We’re focused on opportunity and want to help you make the most of yours. Achieve your ambitions – join us at JLL!
Role SummaryWe are looking for a senior automation engineer (4+ years) who can independently own the full lifecycle of business process automations — from requirements through deployment and support — and who is equally comfortable building traditional UDA solutions (Python/VBA-based attended and unattended automations) and next-generation Gen AI and agentic AI capabilities. This role combines expert-level Selenium/web automation and VBA/Excel competency for legacy system integration with hands-on experience applying large language models (LLMs) as production automation components. Critically, the role now extends beyond single-shot prompting into agentic AI: designing and building autonomous or semi-autonomous agents that can plan, use tools, reason across multiple steps, and orchestrate other agents to complete business workflows with minimal human intervention. This is a senior individual-contributor role for someone who can translate business problems into scalable technical solutions — spanning classic automation, applied Gen AI, and agentic systems — architect clean and maintainable code, and deliver production-ready outcomes without hand-holding.
Core Technical RequirementsPython DevelopmentStrong proficiency in Python 3.x with 4+ years hands-on experience
Deep understanding of OOP principles, error handling, and code modularity
Experience packaging Python applications into executables using PyInstaller, cx_Freeze, or auto-py-to-exe
Knowledge of virtual environments and dependency management (pip, requirements.txt)
Selenium & Web AutomationExpert-level Selenium WebDriver experience for browser automation
Handling dynamic content, iframes, pop-ups, alerts, and AJAX calls
Experience with explicit/implicit waits and element locators (XPath, CSS selectors)
Knowledge of headless browser operations and handling CAPTCHAs
Familiarity with additional tools: Beautiful Soup, Scrapy, Requests library
Data Processing & File HandlingExcel manipulation: openpyxl, pandas, xlwings, xlrd/xlsxwriter
PDF processing: PyPDF2, pdfplumber, tabula-py, camelot
OCR implementation: Tesseract, pytesseract, EasyOCR, or cloud OCR APIs
Data transformation and cleansing with pandas and numpy
VBA & Excel MacrosWorking knowledge of VBA for Excel automation; ability to read, modify, and maintain existing macros
Experience with the Excel object model: Workbooks, Worksheets, Ranges, PivotTables
Integration between Python and Excel macros using xlwings or win32com (pywin32)
Sound judgment on when to use VBA vs. Python for a given automation task
Knowledge of macro security, digital signatures, and programmatic macro enablement
Experience with Excel events, user forms, and custom functions (UDFs)
Applied Gen AI & Prompt EngineeringExpert-level prompt engineering for business automation use cases: data extraction, document classification, content generation, entity recognition, and decision/validation logic
Prompt optimization techniques: few-shot learning, chain-of-thought prompting, role-based prompting, context management
Understanding of hallucination handling and output-validation strategies for production use
Ability to design prompts that reliably produce structured outputs (JSON, CSV)
Knowledge of temperature, token limits, and parameter tuning
Experience building reusable prompt templates with dynamic variable insertion
Working experience with RESTful APIs — authentication, request/response handling, error management, rate limiting — including LLM provider APIs (OpenAI, Anthropic, Azure OpenAI)
Agentic AI DevelopmentThis is the newest and fastest-growing part of the role: moving beyond single-turn prompting to building autonomous and semi-autonomous agents that plan, act, and collaborate to complete multi-step business workflows.
Agent frameworks: hands-on experience with at least one of LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel
Multi-agent orchestration: designing planner-executor, supervisor-worker, and reflection/critique patterns; coordinating specialist agents toward a shared goal
Tool / function calling: defining and exposing tools (APIs, scripts, database calls) that an agent can invoke, and validating tool outputs before they drive downstream actions
Model Context Protocol (MCP) or equivalent: connecting agents to enterprise systems and data sources through standardized tool/connector interfaces
Retrieval-Augmented Generation (RAG): chunking and embedding strategies, vector databases (e.g., FAISS, Chroma, Pinecone, Azure AI Search), and retrieval quality tuning
Agent memory & state management: short-term (conversation/task) and long-term memory design; session and workflow state persistence
Guardrails & human-in-the-loop design: building approval checkpoints, escalation paths, and safety rails so agents fail safely and stay within defined authority
Agent evaluation & observability: tracing and debugging agent runs (e.g., LangSmith, Langfuse), monitoring token cost, latency, and success/failure rates
Autonomy calibration: judgment on when a workflow should be fully autonomous vs. human-supervised, and how to design for graceful degradation when the agent is uncertain
Enterprise integration: connecting agentic workflows to business systems (ERP, ticketing/ITSM, SharePoint, email/chat) via APIs
Cloud agent platforms (Preferred): hands-on experience with AWS Bedrock AgentCore (or an equivalent managed agent runtime/orchestration service) is a strong plus
Professional CompetenciesIndependent Work CapabilityProven track record of owning the complete SDLC: requirements gathering, design, development, testing, deployment, and maintenance
Self-starter who can translate business requirements into technical solutions with minimal supervision
Documentation skills for code, prompts/agent designs, and user guides
Version Control & CollaborationProficient with Git/GitHub: branching, merging, pull requests, conflict resolution
Understanding of gitignore, commit best practices, and collaborative workflows
Experience with code reviews and maintaining a clean repository structure
Code Quality & Best PracticesWriting clean, maintainable, well-documented code following PEP 8
Implementing logging, exception handling, and structured debugging
Use of config files and environment variables for secrets and sensitive data
Code reusability through functions, classes, and modules
Responsible AI & Governance Mindset NEWAwareness of data privacy, PII handling, and access-control implications when agents touch enterprise systems
Comfort working within governance frameworks for AI/automation change control and audit trail requirements
Ability to explain agent/prompt behavior in business terms to non-technical stakeholders
Preferred / Nice-to-HaveHands-on experience with AWS Bedrock AgentCore or another managed agentic automation platform
Familiarity with low-code UDA tools such as Alteryx alongside Python/VBA
Experience contributing to or maintaining an internal library of reusable agent/prompt components
Prior experience in RPA-adjacent roles (UiPath, Automation Anywhere, Power Automate) is a plus, though this role is Python-first
Experience & Seniority ExpectationsCore automation experience: 4+ years hands-on with Python-based automation, Selenium, and VBA/Excel integration
Applied Gen AI experience: demonstrable production or pilot use of LLM prompting for a business workflow (not just experimentation)
Agentic AI experience: hands-on exposure to building at least one multi-step or multi-agent workflow (pilot, hackathon, or production) is required; deeper experience is a strong differentiator given the rapid growth of this area
Seniority: senior individual contributor who needs minimal supervision and can mentor others on Gen AI / agentic techniques as the practice matures
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
