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About the Role

As 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.

Responsibilities

Lead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical blueprint
Define and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audiences
Design scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainability
Participate in architecture reviews, ensuring alignment with enterprise patterns and platform standards
Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs
Design and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to weeks
Translate ambiguous business requirements into concrete technical solutions with minimal hand-holding
Balance speed of delivery with enterprise standards — your prototypes are production-ready, not throwaway
Continuously iterate on solutions based on direct feedback from product managers, program leads, and end users
Develop intuitive front-end interfaces and dashboards that bring data and AI outputs to life for business users
Apply strong UX instincts to simplify complex flows and make agent outputs accessible and actionable for non-technical stakeholders
Design, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-end
Develop and maintain agent skills — discrete, reusable capabilities that compose into larger agentic pipelines
Implement and extend Model Context Protocol (MCP) servers and clients to connect AI agents with enterprise tools, APIs, and data sources
Design evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in production
Stay current with the rapidly evolving agentic AI landscape and proactively introduce new techniques and tooling to the team
Integrate LLMs, RAG systems, and ML models into production workflows
Embed directly with product, program, and engineering teams 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 — in writing, in meetings, and in executive presentations
Mentor and elevate junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid delivery
Foster a collaborative, low-ego team culture where speed and quality go hand in hand

Requirements

8+ years of professional software engineering experience, including solution design and architecture ownership
Demonstrated ability to architect end-to-end systems — from requirements through deployment — with clear documentation and stakeholder communication
Hands-on experience building AI agents, including defining agent skills, tool use, memory, and multi-step reasoning
Experience 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 production
Working knowledge of Model Context Protocol (MCP) — including building or consuming MCP servers to connect agents with external systems
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 — you can earn trust quickly, navigate ambiguity, and drive alignment across diverse teams
Comfort working in fast-paced environments with shifting priorities and high ownership expectations
Experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and semantic search
Familiarity with prompt engineering, fine-tuning, and LLM evaluation techniques
Experience 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 domains
Experience facilitating technical discovery workshops, design sprints, or architecture reviews
Candidates must be authorized to work in the United States without sponsorship.

Skills

AI agents
Full-stack development
AWS Agent Core
Model Context Protocol (MCP)
LangChain
LangGraph
AutoGen
CrewAI
Semantic Kernel
Python
React
Vue.js
Angular
AWS
Azure
GCP
RAG architectures
Vector databases
Pinecone
Weaviate
pgvector
Prompt engineering
LLM evaluation
Docker
Kubernetes
GitHub Actions

Location

Chicago, IL
San Francisco, CA

Work Type

On-site

Experience Level

8+ years of professional software engineering experience

Salary/Compensations

280,000.00 – 300,000.00 USD per year

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

About the Company

JLL empowers you to shape a brighter way.
Our 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.
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services.
We take our responsibility to protect the personal information provided to us seriously.
Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process.
We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons.
We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.

Equal Opportunity

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.
If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com.
This email is only to request an accommodation.
Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities.
Only job-related convictions will be considered and will not automatically disqualify the candidate.
California Residents only
If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information.
If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.