Forward Deployed Engineer

Jones Lang LaSalle Americas, Inc.

. Lead solution design for complex, cross-functional data and AI problems from discovery through technical blueprint .

Posted 9/24/2026full-timeUnited StatesSeniorLead💰 $150,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solution design and architecture for complex data and AI systems, with a strong focus on building and deploying AI agents and multi-agent systems. Proficient in Python and front-end frameworks, with a proven ability to communicate technical concepts effectively to diverse stakeholders.

Highest-signal resume keywords

Solution DesignAI Agent DevelopmentPython ProficiencyAWS Agent Core ExperienceArchitecture Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution DesignAI Agent DevelopmentPythonReactVue.jsAngularMCPCloud PlatformsArchitecture DocumentationAPI Contracts

Soft Skills

Exceptional CommunicationInterpersonal SkillsMentoringCollaborationAdaptability

Tools & Technologies

Claude CodeCodexAWSAzureGCPLangChainLangGraphAutoGenCrewAISemantic Kernel

Industry Keywords

AI-Augmented EngineeringAgentic FrameworksMulti-Agent SystemsProduction WorkflowsTechnical Blueprint

Tech Stack

Tools & technologies

AngularAWSAzureCloudGoogle Cloud PlatformJavaScriptPythonReactVue.js

About the role

Key responsibilities & impact

Lead solution design for complex, cross-functional data and AI problems from discovery through technical blueprint
Define and communicate architecture decisions, trade-offs, and delivery approaches
Design scalable, modular systems balancing speed with reliability, security, and maintainability
Participate in architecture reviews aligned with enterprise patterns and platform standards
Create architecture diagrams, data flow maps, API contracts, and solution briefs
Design and deliver production-ready prototypes within days to weeks
Translate ambiguous business requirements into concrete technical solutions
Iterate on solutions using feedback from product managers, program leads, and end users
Develop front-end interfaces and dashboards for business users
Design, build, and deploy AI agents and multi-agent systems
Develop reusable agent skills for agentic pipelines
Implement and extend MCP servers and clients
Design evaluation harnesses, guardrails, and monitoring pipelines for agent reliability and safety
Integrate LLMs, RAG systems, and ML models into production workflows
Embed with product, program, and engineering teams to co-define and co-deliver solutions
Influence technical direction and align teams without formal authority
Communicate technical concepts to non-technical stakeholders in writing, meetings, and executive presentations
Mentor junior engineers and share agentic development, prompt design, and rapid delivery practices
Foster a collaborative team culture where speed and quality go hand in hand

Requirements

What you’ll need

8+ years of professional software engineering experience, including solution design and architecture ownership
Ability to architect end-to-end systems from requirements through deployment, with clear documentation and stakeholder communication
Hands-on experience building AI agents, including agent skills, tool use, memory, and multi-step reasoning
Experience with AI-Augmented Engineering (Harness Engineering), using tools such as Claude Code, Codex, or equivalent assistants
Direct experience with AWS Agent Core or equivalent, building, deploying, and operating agents in production
Working knowledge of Model Context Protocol (MCP), 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 front-end framework: React, Vue.js, or Angular
Experience with cloud platforms: AWS, Azure, or GCP
Exceptional communication and interpersonal skills
Comfort working in fast-paced environments with shifting priorities and high ownership expectations
This position does not provide visa sponsorship
Candidates must be authorized to work in the United States without sponsorship

Benefits

Comp & perks

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
Supportive culture and comprehensive benefits package prioritizing mental, physical and emotional health
Reasonable accommodations for individuals with disabilities