Forward Deployed Engineer

Kforce Inc.
Brookfield, WI, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Software Applications Microsoft Azure Big Data Spreadsheets Code Review Data Validation Information Engineering Python (Programming Language)
+16 more
Machine Learning Oracle (Applications) Microsoft SharePoint Software Engineering Software Systems Solution Deployment Descriptor Systems Integration Unstructured Data Web Application Frameworks Enterprise Software Applications Large Language Models Backend Api Design Software Version Control Data Pipelines Databricks

Job description

Kforce’s client in Brookfield, WI is seeking a Forward Deployed Engineer to support a strategic technology initiative focused on modernizing business processes and delivering scalable, data-intensive software solutions that drive business decision-making and measurable business outcomes., The successful candidate will take ownership of a defined business problem, partner with stakeholders to establish measurable KPIs, and deliver a production-ready application that transforms complex business data into actionable insights and recommendations. They will create a trusted system of record that captures application recommendations, user decisions, and business outcomes, enabling long-term measurement of solution impact, downstream reporting, and continuous refinement of both the application and underlying business process., * Own delivery of a strategic business initiative from problem definition through solution deployment

  • Design and develop scalable, data-intensive software application components and backend services
  • Integrate data from cloud platforms, enterprise systems, SharePoint, spreadsheets, APIs, and other business sources
  • Transform manual and fragmented business processes into automated, scalable solutions
  • Deploy AI, machine learning, and agent-based capabilities within software applications where appropriate
  • Partner directly with stakeholders to refine business requirements, define success metrics, and establish measurable KPI frameworks
  • Design and implement systems of record that capture recommendations, decisions, and business outcomes to enable long-term impact measurement, reporting, and solution refinement
  • Establish data validation, monitoring, governance, and operational support processes to ensure solution reliability and adoption

Requirements

  • 5+ years of directly relevant experience in software engineering, data engineering, machine learning engineering, BI/AI engineering, data science, or data analysis
  • Demonstrated experience building and deploying production-grade, data-intensive applications or services
  • Strong proficiency in Python and modern software engineering practices, including version control, testing, code review, and API design
  • Hands-on experience deploying complex solutions within the following platform: AWS, Microsoft Azure, Databricks, and Oracle
  • Experience building data pipelines and integrating structured and unstructured data from multiple sources
  • Experience modernizing manual, spreadsheet-driven, SharePoint-based, or otherwise fragmented business processes through software, automation, and AI-enabled solutions
  • Experience working directly with business stakeholders to define requirements, iterate on solutions, and measure outcomes
  • Ability to operate independently, make sound technical decisions, and communicate clearly with technical and non-technical audiences

Preferred Qualifications:

  • Experience operating at a Staff-level scope or serving as a technical lead
  • Experience developing LLM-enabled applications, agentic workflows, or headless AI agents embedded in software
  • Experience establishing AI-enabled workflows, or data-intensive applications in a business environment
  • Experience with modern web application frameworks and cloud-native deployment patterns
  • Consulting, startup, solutions engineering, or embedded product engineering experience

This role is ideal for a hands-on engineer who can quickly understand business challenges, work with imperfect data, and develop production-ready applications that create measurable business impact.

Benefits & conditions

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

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