Forward Deployment Engineer

TEKsystems•East Peoria, IL

1d•$70 - $90•Onsite

About The Position

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.

Requirements

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.
Experience working with at least one major public cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
Familiarity with containerization technologies such as Docker.
Exposure to CI/CD and modern deployment practices.

Nice To Haves

AI
Claude
machine learning models

Responsibilities

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.
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.
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.
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.
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.