Forward Deployed Engineer

Forward Deployed EngineerOur 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.Role OverviewAs a Forward Deployed Engineer, you will operate at the front lines of innovation — embedded directly with subject matter experts, product, and engineering teams to rapidly design, architect, prototype, and deploy solutions that solve high-priority business problems. This is not a traditional engineering role with long delivery cycles. You will be expected to go from concept to working prototype in days, not months, while maintaining enterprise-grade standards for quality, security, and scalability.You bring an exceptional combination of skills: deep hands-on engineering experience across AI agents and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority. You are equally comfortable whiteboarding a system architecture with senior stakeholders and writing production code the same afternoon. You have direct experience developing agents on platforms like AWS Agent Core, and you thrive in fast, ambiguous environments where creative thinking and execution speed matter.Key ResponsibilitiesLead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical blueprintDefine and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audiencesDesign scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainabilityParticipate in architecture reviews, ensuring alignment with enterprise patterns and platform standardsCreate clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefsDesign and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to weeksTranslate ambiguous business requirements into concrete technical solutions with minimal hand-holdingBalance speed of delivery with enterprise standards — your prototypes are production-ready, not throwawayContinuously iterate on solutions based on direct feedback from product managers, program leads, and end usersDevelop intuitive front-end interfaces and dashboards that bring data and AI outputs to life for business usersApply strong UX instincts to simplify complex flows and make agent outputs accessible and actionable for non-technical stakeholdersDesign, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-endDevelop and maintain agent skills — discrete, reusable capabilities that compose into larger agentic pipelinesImplement and extend Model Context Protocol (MCP) servers and clients to connect AI agents with enterprise tools, APIs, and data sourcesDesign evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in productionStay current with the rapidly evolving agentic AI landscape and proactively introduce new techniques and tooling to the teamIntegrate LLMs, RAG systems, and ML models into production workflowsEmbed directly with product, program, and engineering teams to co-define problems and co-deliver solutionsInfluence technical direction and build alignment across teams without relying on formal authorityCommunicate complex technical concepts clearly to non-technical business stakeholders — in writing, in meetings, and in executive presentationsMentor and elevate junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid deliveryFoster a collaborative, low-ego team culture where speed and quality go hand in handQualificationsCritical skills8+ years of professional software engineering experience, including solution design and architecture ownershipDemonstrated ability to architect end-to-end systems — from requirements through deployment — with clear documentation and stakeholder communicationHands-on experience building AI agents, including defining agent skills, tool use, memory, and multi-step reasoningExperience with AI-Augmented Engineering (Harness Engineering) — actively use tools like Claude Code, Codex, or equivalent assistants to accelerate coding, documentation, and problem-solving day-to-day.Direct experience with AWS Agent Core or equivalent — building, deploying, and operating agents in productionWorking knowledge of Model Context Protocol (MCP) — including building or consuming MCP servers to connect agents with external systemsExperience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic KernelProficiency in Python and at least one front-end framework (React, Vue.js, or Angular)Experience with cloud platforms (AWS, Azure, or GCP)Exceptional communication and interpersonal skills — you can earn trust quickly, navigate ambiguity, and drive alignment across diverse teamsComfort working in fast-paced environments with shifting priorities and high ownership expectationsDesirable skillsExperience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and semantic searchFamiliarity with prompt engineering, fine-tuning, and LLM evaluation techniquesExperience with agent observability and tracing tools (LangSmith, Arize, Weights & Biases, or similar)Experience with containerization and CI/CD practices (Docker, Kubernetes, GitHub Actions)Background in real estate, financial services, or other data-intensive enterprise domainsExperience facilitating technical discovery workshops, design sprints, or architecture reviewsThis position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.Estimated compensation for this position:280,000.00 – 300,000.00 USD per yearThis range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.Location:On-site –Chicago, IL, San Francisco, CAIf this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!Personalized benefits that support personal well-being and growth:401(k) plan with matching company contributionsComprehensive Medical, Dental & Vision CarePaid parental leave at 100% of salaryPaid Time Off and Company HolidaysEarly access to earned wages through Daily Pay