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Remote Forward Deployed Engineer Jobs in Mount Prospect, IL

JLL

Senior Software Engineer

Chicago, IL · Remote

$126K - $166K/yr

... be a forward deployed engineer embedded in the marketing organization, building production AI ... You are proficient in English, both written and verbal, sufficient for success in a remote and ...

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Remote Forward Deployed Engineer information

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How much do remote forward deployed engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote forward deployed engineer in Mount Prospect, IL is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $74.04 per hour, depending on experience, location, and employer.

What is a remote forward deployed engineer?

A Remote Forward Deployed Engineer is a technical professional who works remotely to help implement and customize software solutions directly for clients, often acting as a bridge between the engineering team and the customer. They typically travel (virtually or occasionally onsite) to work closely with clients, understand their needs, and ensure the successful deployment and integration of products. Their role often includes troubleshooting, coding, and providing support tailored to each client’s requirements. This position requires strong technical skills, excellent communication, and the ability to adapt solutions for diverse customer environments.

How does a remote forward deployed engineer typically collaborate with client teams and internal stakeholders?

As a Remote Forward Deployed Engineer, you will regularly interact with both client teams and internal product or engineering teams. Collaboration often happens through virtual meetings, shared documentation, and project management tools. You'll be expected to translate client requirements into actionable engineering tasks, communicate technical constraints or possibilities, and coordinate deployments or troubleshooting efforts. Successful engineers in this role are proactive communicators and can bridge the gap between user needs and technical solutions, even when working across time zones.

What are the key skills and qualifications needed to thrive as a remote forward deployed engineer, and why are they important?

To thrive as a Remote Forward Deployed Engineer, you need strong software engineering skills, problem-solving abilities, and a background in computer science or a related field. Experience with programming languages, cloud platforms, and deployment tools—along with familiarity with CI/CD pipelines and relevant certifications—are typically required. Exceptional communication, adaptability, and self-motivation are crucial soft skills for collaborating across distributed teams and interfacing with clients. These skills and qualities ensure successful implementation of technical solutions tailored to client needs, even in remote and dynamic environments.

What cities near Mount Prospect, IL are hiring for Remote Forward Deployed Engineer jobs?

Cities near Mount Prospect, IL with the most Remote Forward Deployed Engineer job openings:

Remote Forward Deployed Engineer jobs near you
Infographic showing various Remote Forward Deployed Engineer job openings in Mount Prospect, IL as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,705 per year, or $55.6 per hour.

Forward Deployed Engineer (Generative AI)

Chicago, IL • Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 26 days ago

Job description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Agentic Design & Implementation
● Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.


AI on Data Strategy
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".


Operational Excellence (Soft Skills)
● Active Participation: Show up promptly for all internal and client-facing meetings.
● Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
● Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
● Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.