> Markdown version of [/jobs/ext/1447517-forward-deploy-engineer](https://www.wearedevelopers.com/jobs/ext/1447517-forward-deploy-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deploy Engineer - **Company:** JLL Partners, LLC - **Location:** Chicago, IL, United States (Remote available) - **Salary:** $220,000.0 - $320,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Github, Python (Programming Language), Machine Learning, Performance Tuning, Rapid Prototyping Process, Search Technologies, Data Streaming, Systems Architecture, Web Application Frameworks, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Vue.js, Containerization, AngularJS, Kubernetes, Production Code, Virtual Agents, Api Management, Docker - **Published:** July 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17706579?backUrl=%2Fcareer%2F17706579%2FForward-Deploy-Engineer-Illinois-Chicago ## About the Role Critical skills * 15+ years Software / Infrastructure Development * 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 Desirable skills * 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 This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. ## Description 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. You bring an exceptional combination of skills: deep hands-on engineering experience across AI agents and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority. You are equally comfortable whiteboarding a system architecture with senior stakeholders and writing production code the same afternoon. You have direct experience developing agents on platforms like AWS Agent Core, and you thrive in fast, ambiguous environments where creative thinking and execution speed matter. In this variety for Forward Deploy Engineer, your focus will be rooted in Infrastructure initiatives reporting directly to the Global Head of Infrastructure Development. Key Responsibilities Solution Design & Architecture * 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 Rapid Prototyping & Solution Delivery * 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 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 - 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 Collaboration & Stakeholder Engagement * 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, 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 ourSupplemental 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. ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [AI Killed DevOps... 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