Lead System Engineering Architect
Jones Lang LaSalle Incorporated2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the incubation, architecture, design, implementation, maintenance, and adoption of Generative AI and Agentic AI initiatives.
- Define enterprise architecture and reference patterns covering orchestration, model selection, RAG and knowledge integration, guardrails, and responsible-AI compliance.
- Facilitate requirements, operational, and business workshops to identify process improvements and measurable AI opportunities.
- Create solution blueprints integrating low-code/no-code tools, AI agents, BPM platforms, enterprise data, and enterprise systems.
- Provide team leadership, support customer and solution engagements, and remain hands-on while delivering early prototypes.
- Lead and document UAT and model or agent validation with strategic end users.
- Develop AI adoption plans, product roadmaps, business and solution architecture models, and executive decision materials.
- Coordinate with operations, IT, security, data governance, business, and architecture stakeholders.
- Support rollout, change management, business enablement, modernization, and innovation pipeline activities.
Requirements
- At least 12 years of overall IT experience, including significant experience in enterprise architecture, BPM or low-code automation, and hands-on Generative AI or Agentic AI solutions.
- Demonstrated experience designing and delivering Generative AI and Agentic AI solutions using agent orchestration frameworks such as AWS Agent Core, Claude, LangChain, LangGraph, or equivalent.
- Experience with LLM integration, prompt and RAG design, multi-agent workflows, and scalable system or business architecture.
- Experience designing large-scale applications on market-leading low-code/no-code platforms and integrating BPM workflows, customer service applications, AI capabilities, and enterprise data platforms.
- Experience across software development phases including design, configuration, testing, debugging, implementation, and support of large-scale business-centric AI and process applications.
- Experience evaluating modern technologies, developing prototypes, and leading technology-platform modernization.
- Experience with Agile and Scrum methodologies.
- Excellent verbal, written, and formal presentation skills in English, including the ability to explain AI and machine-learning concepts to non-technical stakeholders.
Benefits
- On-site work arrangement in Bengaluru, Karnataka.
- Scheduled for 40 hours per week.
- JLL provides reasonable accommodations during the employment process for individuals with disabilities.
Categories
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).