Forward Deployed Engineer Jobs in Chicago, IL
Forward Deployed Engineer jobs in Chicago are concentrated in the Loop, River North, and the Fulton Market tech corridor, with strong demand from enterprise software, financial technology, and logistics technology firms. Companies actively hiring include Logic, Palantir Technologies, and PwC. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 58+ Forward Deployed Engineer jobs
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
See All 58 Forward Deployed Engineer Jobs in Chicago
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Find JobsForward Deployed Engineer Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Technology & Software
- Telecommunications
- Banking & Financial Services
Forward Deployed Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a forward deployed engineer job in Chicago?
Target Chicago's dense concentrations of enterprise software, fintech, and supply chain technology companies, particularly those headquartered in the Loop and Fulton Market. Candidates with hands-on implementation experience, strong client-facing communication, and familiarity with the data infrastructure tools common in financial services and logistics gain a real edge here. Attending local tech meetups and engaging with Chicago's startup ecosystem also surfaces opportunities before they are widely posted.
Which companies hire forward deployed engineers in Chicago?
Companies currently hiring forward deployed engineers in Chicago include Logic, Palantir Technologies, and PwC, per current listings on Migrate Mate as of November 2026. Chicago's hiring base skews toward established enterprise software vendors, fintech platforms, and industrial technology firms that need engineers to deploy and support complex solutions directly at client sites.
Are there remote forward deployed engineer jobs in Chicago?
Yes, though remote availability is limited by nature since forward deployed engineering is fundamentally a client-facing, on-site role. About 67% of forward deployed engineer openings tied to Chicago are remote or hybrid as of November 2026, reflecting some flexibility in post-deployment support and technical advisory work. Configuration, documentation, and remote troubleshooting duties are the tasks most commonly performed off-site.
How can I get a forward deployed engineer job in Chicago with little or no experience?
The most realistic entry path is through a solutions engineer or technical implementation specialist role at one of Chicago's many mid-size enterprise software or fintech companies, which regularly hire early-career candidates with strong technical foundations. Building familiarity with CRM, ERP, or data pipeline tools used heavily in Chicago's financial and logistics sectors helps, as does any project work demonstrating client communication skills. Lateral moves from technical support or professional services roles at Chicago firms are also common on-ramps.
Which industries hire the most forward deployed engineers in Chicago?
The sectors hiring the most forward deployed engineers in Chicago are Technology & Software, Telecommunications, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. Chicago's position as a hub for financial exchanges, enterprise logistics networks, and B2B software companies creates sustained demand for engineers who can deploy and maintain complex technical products directly within large institutional client environments.
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