[Hiring] Staff Forward Deployed Engineer @JLL

Role Description

As a Staff Forward Deployed Engineer, you will operate at the front lines of innovation — embedded directly with multiple cross-functional teams to rapidly design, architect, prototype, and deploy solutions that solve their highest-priority 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 will act as the embedded technical owner across several teams simultaneously — diagnosing their workflow and data problems, then architecting and building the fix yourself. You will use modern AI coding assistants day-to-day to design and implement solutions, and you're expected to be fluent extending that toolset — building custom plugins/skills, redesigning data pipelines and data flows, and deploying agents to production via AWS Bedrock AgentCore. At the Staff level, your impact extends beyond any single team: you define the patterns and playbooks other engineers use to deliver, and you act as the escalation point for the hardest technical and stakeholder problems across the portfolio.

You bring an exceptional combination of skills: deep hands-on engineering experience across AI agents, data architecture, and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority across multiple teams at once. You are equally comfortable whiteboarding a system architecture with senior stakeholders and shipping production code the same afternoon.

Key Responsibilities

• Solution Design & Architecture
  • Lead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical blueprint.
  • Evaluate and select the right tools and architecture for each problem.
  • Define and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audiences.
  • Design scalable, modular systems that balance speed with enterprise standards for reliability, security, and maintainability.
  • Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs.
  • Establish reusable architecture patterns and reference designs that other engineers adopt across engagements.
• AI-Assisted Solution Delivery
  • Use AI coding assistants as your primary development environment for day-to-day solution building.
  • Build and maintain custom plugins/skills for your AI coding assistant.
  • Redesign and rebuild data pipelines and data flows to unblock use cases.
  • Deploy and operate AI agents in production via AWS Bedrock AgentCore.
  • Translate ambiguous business requirements from stakeholders into concrete technical solutions.
  • Balance speed of delivery with enterprise standards.
  • Develop intuitive front-end interfaces and dashboards that bring data and AI outputs to life for business users.
• AI Agent Development
  • Design, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-end.
  • Develop and maintain agent skills and plugins.
  • Implement and extend Model Context Protocol (MCP) servers and clients.
  • Design evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety.
  • Stay current with the rapidly evolving agentic AI landscape.
• Practice Leadership & Technical Strategy
  • Define and evolve delivery practices and playbooks used across multiple cross-functional teams.
  • Serve as the technical escalation point for the most ambiguous or high-stakes problems.
  • Provide direct input to the hiring manager on recurring patterns and roadmap priorities.
  • Mentor and elevate other engineers on AI-assisted agentic development.
• Collaboration & Stakeholder Engagement
  • Embed directly with multiple cross-functional teams simultaneously to co-define problems and co-deliver solutions.
  • Influence technical direction and build alignment across teams without relying on formal authority.
  • Communicate complex technical concepts clearly to non-technical business stakeholders.
  • Foster a collaborative, low-ego culture where speed and quality go hand in hand.

Qualifications

• 8–12+ years of software engineering experience, with substantial time in customer-facing or embedded technical delivery roles.
• Strong software architecture background — able to independently design and defend system architecture across varied tools and platforms.
• Direct hands-on experience using AI coding assistants (e.g., Claude, Cursor, GitHub Copilot) as a primary development workflow.
• Direct, hands-on experience building and deploying AI agents on AWS Bedrock AgentCore — required.
• Experience with Model Context Protocol (MCP) server/client implementation — required.
• Data engineering experience — building and redesigning data pipelines and data flows across varied sources.
• Full-stack development proficiency — backend services, APIs, and front-end interfaces/dashboards.
• Demonstrated experience mentoring engineers and defining technical standards adopted beyond your own work.
• Excellent written and verbal communication skills; able to manage multiple concurrent internal stakeholder relationships.

Requirements

• This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Benefits

• 401(k) plan with matching company contributions.
• Comprehensive Medical, Dental & Vision Care.
• Paid parental leave at 100% of salary.
• Paid Time Off and Company Holidays.
• Early access to earned wages through Daily Pay.