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Forward Deployed Engineer

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 5+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
  • 4+ years of experience operating in a consulting or advisory capacity
  • Demonstrated experience working in client-facing engagements

Responsibilities

  • Build and deploy AI-powered solutions within client environments
  • Partner with senior engineers and consulting leads to implement scalable systems
  • Communicate solutions and support delivery in real-world environments
  • Work effectively in client-facing delivery environments

About the company

Resource Logistics Inc. logo

Resource Logistics Inc.

Staffing & Recruiting

Resource Logistics, Inc. (RLI) was founded in 1997. RLI is a Minority Business Enterprise (MBE) owned and controlled company. Our vision and values shape who we are and how we serve our clients. At RLI this means listening attentively to wishes and requirements of the client and offering them superior human talents and IT solutions; in a way empowering them to make the best decision and achieve their internal goal. Our aspiration is to become one of the world’s leading IT solution provider. Our offices in two different continents enable us to serve clients globally with solutions tailored to client’s individual needs. So that we can identify future industry development ahead of time, take the right steps to server, and benefit our clients, we constantly strive to keep abreast the latest trends in technology and IT management. As an employer, promoting internal mobility, recruiting talent, encouraging sustained employee development, and offering competitive salaries and fringe benefits are all factors that make RLI an innovative and attractive employer. Over 15 years of proven track record in providing cost effective and top notch talent to fortune 1000 companies, government and other major corporations/entities such as TD Ameritrade, Avaya, JP Morgan Chase, Credit Suisse, CIGNA, Blue Cross BlueShield, Hartford Insurance, State Govt Of Maryland etc. ___________________________ ___________________________ ___________________________ Twitter: Career_RLI Facebook: https://www.facebook.com/ResourceLogisticsInc/ LinkedIn: https://www.linkedin.com/company/resource-logistics ___________________________ ___________________________ ___________________________ If you are looking for job, please share your profile directly at: Fresher: should share their resume directly at campus-recruitment@resource-logistics.com & experienced at himani@resource-logistics.com ___________________________ ___________________________ ___________________________

Company details

Company typeSME
IndustryStaffing & Recruiting
Company size201 - 500

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Job description

Role - Forward Deployed Engineer
Location - Minneapolis, MN(Remote)

Mandatory Skills -
Python/ Java/ SQL, AI/ML Concepts, cloud

Job Details:
Work Experience:

The Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. Working as part of client-facing delivery teams, this role partners with senior engineers, and consulting leads to implement scalable, production-ready systems for healthcare payers and providers.

Required Qualifications:
Bachelor's degree in Computer Science, Engineering, Data Science, or related field
5+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
4+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
Experience working with APIs, data pipelines, or distributed systems
Familiarity with cloud platforms (e.g., AWS, Clienture, or GCP)
Exposure to AI/ML concepts, including LLMs and prompt engineering
Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
Ability to work effectively in client-facing delivery environments
Solid collaboration skills and ability to operate within structured project teams
Clear communication skills for working with both technical and non-technical stakeholders
Ability to execute against defined requirements and evolving priorities

Preferred Qualifications:
Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
Familiarity with healthcare data considerations (e.g., privacy, compliance) is a plus
Solid execution focus with attention to detail and code quality
Ability to work in fast-paced environments with multiple priorities
Willingness to take ownership of assigned components and deliver reliably
Continuous learning mindset, particularly in AI and emerging technologies

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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