2 months ago
Remote, United States +2 moreStaff+

Base Salary

$220k - $320k/yr

Responsibilities

  • Lead solution design and architecture for cross-functional data and AI problems from discovery through deployment.
  • Create architecture decisions, technical blueprints, diagrams, data-flow maps, API contracts, solution briefs, and other technical documentation.
  • Design and deliver production-ready prototypes for ambiguous business requirements within compressed timelines.
  • Develop intuitive front-end interfaces and dashboards for data and AI outputs.
  • Design, build, and deploy AI agents and multi-agent systems that automate complex workflows.
  • Develop agent skills and implement Model Context Protocol servers and clients to connect agents with enterprise tools, APIs, and data sources.
  • Create evaluation harnesses, guardrails, monitoring pipelines, and other mechanisms for reliable and safe agent operation.
  • Integrate LLMs, RAG systems, and ML models into production workflows.
  • Embed with product, program, and engineering teams to define problems, deliver solutions, and influence technical direction.
  • Communicate complex technical concepts to technical and non-technical stakeholders and mentor junior engineers.

Requirements

  • 15+ years of software or infrastructure development experience.
  • Demonstrated ability to architect end-to-end systems from requirements through deployment with clear documentation and stakeholder communication.
  • Hands-on experience building AI agents with agent skills, tool use, memory, and multi-step reasoning.
  • Experience using AI-augmented engineering assistants such as Claude Code, Codex, or equivalent tools.
  • Direct experience building, deploying, and operating production agents with AWS Agent Core or an equivalent platform.
  • Working knowledge of Model Context Protocol, including building or consuming MCP servers.
  • Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
  • Proficiency in Python and at least one of React, Vue.js, or Angular.
  • Experience with AWS, Azure, or GCP.
  • Strong communication, interpersonal, ownership, ambiguity-navigation, and stakeholder-alignment skills.
  • Preferred experience with RAG architectures, vector databases, semantic search, prompt engineering, fine-tuning, LLM evaluation, agent observability, tracing tools, Docker, Kubernetes, and GitHub Actions.
  • Preferred background in real estate, financial services, or other data-intensive enterprise domains and experience facilitating technical discovery workshops, design sprints, or architecture reviews.

Benefits

  • Remote position based in Chicago, Illinois or San Francisco, California.
  • Estimated base compensation is $220,000–$320,000 per year.
  • Benefits may include a 401(k) plan with matching contributions, comprehensive medical, dental, and vision care, paid parental leave at 100% of salary, paid time off, company holidays, and early access to earned wages through DailyPay.
  • The position does not provide visa sponsorship; candidates must be authorized to work in the United States without sponsorship.

Categories

Forward Deployed
Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees
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