2 months ago
Remote, United States +3 moreStaff+

Base Salary

$160k - $250k/yr

Responsibilities

  • Lead solution design and architecture for complex cross-functional data and AI problems from discovery through technical blueprint.
  • Select tools and architectures across varied platforms, data sources, and integration patterns, and communicate trade-offs to technical and non-technical audiences.
  • Design scalable, modular, reliable, secure, and maintainable systems and produce architecture diagrams, data-flow maps, API contracts, and solution briefs.
  • Build production-ready solutions using AI coding assistants, including custom plugins and skills.
  • Redesign data pipelines and data flows, integrate sources, implement transformations, and deliver downstream data products.
  • Deploy and operate AI agents and multi-agent systems through AWS Bedrock AgentCore.
  • Implement and extend Model Context Protocol servers and clients to connect agents with enterprise tools, APIs, and data sources.
  • Develop evaluation harnesses, guardrails, and monitoring pipelines for agent reliability and safety.
  • Build intuitive front-end interfaces and dashboards for business users.
  • Define delivery practices, playbooks, architecture patterns, and reference designs adopted across teams.
  • Serve as a technical escalation point, mentor engineers, advise on roadmap priorities, and influence stakeholders across multiple teams.

Requirements

  • 8–12+ years of software engineering experience, including substantial customer-facing or embedded technical delivery experience.
  • Strong software architecture experience across varied tools and platforms.
  • Hands-on use of Claude, Cursor, or GitHub Copilot as a primary development workflow; custom plugin or skill development is preferred.
  • Hands-on experience building and deploying AI agents on AWS Bedrock AgentCore is required.
  • Hands-on experience implementing Model Context Protocol server and client systems is required.
  • Experience building and redesigning data pipelines and data flows across varied sources.
  • Full-stack proficiency across backend services, APIs, and front-end interfaces or dashboards.
  • Experience mentoring engineers and defining technical standards adopted beyond the individual's own work.
  • Excellent written and verbal communication skills and ability to manage multiple concurrent stakeholder relationships.
  • Candidates must be authorized to work in the United States without sponsorship.

Benefits

  • Remote position available from Chicago, Dallas, or San Francisco.
  • 401(k) plan with matching company contributions.
  • Comprehensive medical, dental, and vision care.
  • Paid parental leave at 100% of salary.
  • Paid time off and company holidays.
  • Early access to earned wages through Daily Pay.

Tech Stack

Categories

Forward Deployed
Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees

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).

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