> Markdown version of [/jobs/ext/1832989-forward-deployment-engineer](https://www.wearedevelopers.com/jobs/ext/1832989-forward-deployment-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 Deployment Engineer - **Company:** CareerCircle - **Location:** Peoria, IL, United States - **Salary:** $145,600.0 - $187,200.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Python (Programming Language), Machine Learning, Language Modeling, SQL Databases, Unstructured Data, Google Cloud, Enterprise Software Applications, Microsoft Power Automate, Office365, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Containerization, AI Platforms, Api Design, Docker - **Published:** July 16, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/il/peoria/d7247b6b-9618-4d99-96c3-b6701a5d74d1 ## About the Role AI, Claude, machine learning models Top Skills Details AI,Claude,machine learning models Additional Skills & Qualifications * Ability to leverage AI copilots and agent platforms to accelerate prototyping, workflow automation, solution design, and stakeholder demonstrations. * Experience evaluating and integrating AI assistants, agents, and generative AI capabilities into enterprise business processes and workflows. * Strong Python development skills. * Experience evaluating, testing, and validating AI/ML models. * Experience consuming and building APIs. * Familiarity with SQL and working with structured and unstructured data. * Ability to run, test, and troubleshoot applications in both local and remote environments. Cloud & Deployment * Experience working with at least one major public cloud platform: o AWS o Azure o Google Cloud Platform (GCP) * Familiarity with containerization technologies such as Docker. * Exposure to CI/CD and modern deployment practices. ## Description Claude AI Operations Leadership Automation Scalability Prototyping AI Adoption Public Cloud Claude Cowork Microsoft Azure Solution Design Business Process Machine Learning Containerization Docker (Software) Unstructured Data Business Problems Microsoft Copilot Business Valuation Prompt Engineering Workflow Management Development Testing Amazon Web Services Workflow Automation Demonstration Skills Workshop Facilitation Full Stack Development Operational Efficiency Stakeholder Engagement Artificial Intelligence Large Language Modeling Business Transformation Microsoft Copilot Studio SQL (Programming Language) Google Cloud Platform (GCP) Python (Programming Language) Business Process Reengineering Retrieval Augmented Generation Troubleshooting (Problem Solving) Generative Artificial Intelligence Business Process Transformation (BPT) Artificial Intelligence Infrastructure Application Programming Interface (API), We are seeking a skilled Forward Deployment Engineer to partner closely with Enterprise AI teams and business stakeholders to rapidly design, prototype, and deploy AI-powered solutions that solve real business problems. This role is ideal for an engineer who enjoys working at the intersection of technology and business-translating ambiguous requirements into functional AI solutions while serving as the technical bridge between stakeholders and engineering teams. The successful candidate will help accelerate AI adoption by developing proof-of-concepts (POCs), validating use cases, integrating AI capabilities into existing workflows, and supporting the modernization of legacy applications and business processes. This is a hands-on engineering role focused on delivering business value through practical AI implementations rather than conducting pure research. ________________________________________ Key Responsibilities AI Solution Development & Prototyping * Design, build, and deploy AI-powered proof-of-concepts (POCs) and pilot solutions. * Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and emerging agent frameworks. * Quickly move from concept to working prototype, validating business value and technical feasibility. * Enhance and extend existing enterprise AI capabilities and platforms. * Leverage enterprise AI platforms and copilots, including Microsoft 365 Copilot Cowork, Copilot Studio, Claude Cowork, and similar AI tools, to rapidly prototype solutions, validate use cases, and accelerate delivery. * Design and demonstrate AI-powered workflows, agents, and business solutions using enterprise AI platforms to showcase business value and support stakeholder adoption. Stakeholder Engagement * Work directly with business partners, AI teams, and technical stakeholders to understand business challenges and identify AI opportunities. * Translate business needs into scalable technical solutions. * Facilitate workshops, discovery sessions, and solution demonstrations. * Serve as a trusted technical advisor throughout the solution lifecycle. Deployment & Integration * Integrate AI solutions with enterprise applications, APIs, databases, and internal systems. * Support deployment of solutions into development, test, and production environments. * Collaborate with platform and infrastructure teams to operationalize AI capabilities. * Perform testing and troubleshooting across local and remote environments. Model Evaluation & Validation * Assess AI and machine learning model performance, accuracy, reliability, and fitness for purpose. * Develop evaluation frameworks and testing methodologies for AI solutions. * Monitor and optimize solution effectiveness based on stakeholder feedback and business outcomes. Application Modernization * Support modernization of legacy applications and workflows through AI-enabled solutions. * Contribute to initiatives focused on business process transformation and operational efficiency. * Develop Python-based services and tools that improve internal productivity and automation., Research Claude AI Operations Leadership Automation Scalability Prototyping AI Adoption Public Cloud Claude Cowork Microsoft Azure Solution Design Business Process Machine Learning Containerization Docker (Software) Unstructured Data Business Problems Microsoft Copilot Business Valuation Prompt Engineering Workflow Management Development Testing Amazon Web Services Workflow Automation Demonstration Skills Workshop Facilitation Full Stack Development Operational Efficiency Stakeholder Engagement Artificial Intelligence Large Language Modeling Business Transformation Microsoft Copilot Studio SQL (Programming Language) Google Cloud Platform (GCP) Python (Programming Language) Business Process Reengineering Retrieval Augmented Generation Troubleshooting (Problem Solving) Generative Artificial Intelligence Business Process Transformation (BPT) Artificial Intelligence Infrastructure Application Programming Interface (API) +0 Forward Deployment Engineer TEKsystems Peoria, IL*Hybrid CI/CD Research Claude AI Operations Leadership Automation Scalability Prototyping AI Adoption Public Cloud Claude Cowork Microsoft Azure Solution Design Business Process Machine Learning Containerization Docker (Software) Unstructured Data Business Problems Microsoft Copilot Business Valuation Prompt Engineering Workflow Management Development Testing Amazon Web Services Workflow Automation Demonstration Skills Workshop Facilitation Full Stack Development Operational Efficiency Stakeholder Engagement Artificial Intelligence Large Language Modeling Business Transformation Microsoft Copilot Studio SQL (Programming Language) Google Cloud Platform (GCP) Python (Programming Language) Business Process Reengineering Retrieval Augmented Generation Troubleshooting (Problem Solving) Generative Artificial Intelligence Business Process Transformation (BPT) Artificial Intelligence Infrastructure Application Programming Interface (API) +0 Login | JoinContact ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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