J

Jones Lang LaSalle

Advises on and manages commercial real estate

Lead Systems Engineering Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 12 years of overall IT experience, including significant experience in Enterprise Architecture, BPM/low-code automation, and hands-on exposure to Generative AI and Agentic AI solutions.
  • Demonstrated experience designing and delivering Generative AI and Agentic AI solutions, including agent orchestration frameworks such as AWS Agent Core, Claude, LangChain/LangGraph or equivalent, LLM integration, prompt and RAG design, and multi-agent workflows.
  • Experience designing system and business architecture and designing large-scale, scalable applications on market-leading low-code/no-code platforms.
  • Experience across all phases of software development, including design, configuration, testing, debugging, implementation, and support of large-scale, business-centric AI- and process-based applications.
  • Experience with Agile and Scrum methodologies, working with business and architecture teams to evaluate modern technologies, develop prototypes, and lead modernization of the JLL technology platform.
  • Excellent verbal, written, and formal presentation communication skills in English.
  • Ability to communicate business and technical issues to technical teams and clients, including translating AI/ML concepts for non-technical stakeholders.
  • Experience working with BPM workflow and customer service-based applications, and integrating them with AI/agentic capabilities and enterprise data platforms.

Responsibilities

  • Facilitate requirements elaboration workshops to understand current-state processes and technology and map a future state that includes improved process definition, Agentic AI/GenAI enablement, and best-practice architecture for integrating existing products or new technology solutions.
  • Define and own enterprise architecture and reference patterns for Generative AI and Agentic AI solutions, including orchestration, model selection, RAG/knowledge integration, guardrails, and responsible-AI compliance.
  • Guide and facilitate operational discussions to understand key process or business drivers and identify opportunities for GenAI/Agentic AI to drive measurable value.
  • Provide team leadership and/or support for customer/solution engagements and lead efforts to define design blueprints spanning low-code/no-code tools, AI agents, and enterprise integration layers.
  • Articulate use cases and product roadmaps to ensure understanding across project leads, business stakeholders, and the technology team.
  • Engage with operations, IT, security, and other stakeholders to represent operational, process, and data-governance needs during design and development.
  • Lead and document UAT and model/agent validation processes with strategic end users.
  • Facilitate rollout and adoption of new AI-enabled products and features, including change management and enabling business teams.
  • Review, analyze, and evaluate ideas, projects, and opportunities to develop new products, technologies, and business models across business segments, focusing on GenAI and Agentic AI adoption.
  • Collaborate across business segments to identify opportunities and showcase ideas in the Innovation and emerging technology pipeline.
  • Create business and solution architecture models demonstrating how AI agents, BPM platforms, data, and enterprise systems interoperate within the organization.
  • Conduct analysis to determine the best path for solving business problems or opportunities, which may include process improvement, systems enhancement, user training, and/or platform or tooling procurement.
  • Apply business and solution modelling methods to create results-oriented deliverables that can be reused as a corporate knowledge resource for executive decision-making.
  • Lead Senior Management through development of an enterprise architecture and AI adoption plan for the line of business.
  • Evaluate and present information that facilitates effective and timely decision-making through written and oral communications that summarize findings and recommendations.

About the Company

Jones Lang LaSalle

Advises on and manages commercial real estate

Jones Lang LaSalle, known as JLL, advises property owners, occupiers and investors on commercial real estate worldwide. Its teams broker leases and property sales, arrange financing, value assets, manage buildings and workplaces, and oversee construction projects for businesses, institutions and governments. LaSalle Investment Management invests client capital in private property and real estate securities, while JLL Technologies develops workplace software and data tools. The company earns commissions, service fees, investment management fees and software revenue, with some client operating costs reimbursed through contracts. JLL took its current form through a 1999 merger and is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1999

Recently Posted Jobs

Explore more opportunities at Jones Lang LaSalle

See more jobs