Forward Deployed Engineers

Minneapolis, MN, MN

Instant Apply

30+ days ago

Job Description

Forward Deployed Engineers
Minneapolis, MN - (Onsite/Hybrid)
FTE/Full time
Salary: Market
Client: Healthcare payer

Primary Responsibilities:

Solution Implementation & Delivery
- Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments
- Implement integrations between AI models, APIs, and enterprise healthcare systems
- Translate defined solution designs into high-quality, production-ready code
- Contribute to end-to-end delivery by supporting development, testing, and deployment activities
Hands-on Engineering
- Develop solution components using modern programming languages (e.g., Python, Java, SQL) and engineering frameworks
- Work with distributed systems and cloud platforms to support scalable, reliable deployments
- Assist with data preparation, prompt configuration, and model integration for AI-driven solutions
- Troubleshoot and resolve technical issues during development and deployment
Client Delivery Support
- Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations
- Support technical discussions and working sessions with client stakeholders
- Help execute on defined project plans, timelines, and deliverables
- Contribute to iterative development cycles, incorporating client and team feedback
Collaboration & Translation
- Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions
- Translate technical requirements into actionable development tasks
- Communicate progress, risks, and technical considerations clearly within the team
- Support alignment between technical implementation and client expectations
Documentation & Knowledge Transfer
- Document solution components, integration points, and deployment processes
- Support knowledge transfer to client technical teams to enable adoption and sustainability
- Contribute to reusable implementation patterns, assets, and playbooks
Success Measures
- Delivers high-quality solution components that meet performance, reliability, and security expectations
- Contributes effectively to end-to-end client delivery efforts
- Demonstrates strong execution in translating requirements into working systems
- Communicates clearly within teams and supports client delivery activities
- Builds capability in both technical implementation and client engagement over time
- Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teams.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

Bachelor's degree in Computer Science, Engineering, Data Science, or related field
3+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
2+ 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, Azure, 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
Demonstrated ability to work effectively in client-facing delivery environments
Demonstrated solid collaboration skills and ability to operate within structured project teams
Demonstrated clear communication skills for working with both technical and non-technical stakeholders
Demonstrated 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)
Demonstrated solid execution focus with attention to detail and code quality
Demonstrated 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

Numbers & Facts

Location

Minneapolis, MN, MN

Skills

Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Claims Managementunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Consultingunmatched
Cross-Functionalunmatched
Customer Relationsunmatched
Customer Support/Serviceunmatched
Data Managementunmatched
Data Scienceunmatched
Detail Orientedunmatched
Distributed Computingunmatched
Documentationunmatched
Emerging Technologyunmatched
GCP (Good Clinical Practices)unmatched
Healthcareunmatched
Healthcare Providersunmatched
Identify Issuesunmatched
Javaunmatched
Knowledge Transferunmatched
Microsoft Windows Azureunmatched
Multitaskingunmatched
Needs Assessmentunmatched
Problem Solving Skillsunmatched
Programming Languagesunmatched
Project Planningunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Software Engineeringunmatched
Sustainabilityunmatched
Team Playerunmatched
Technical Supportunmatched
Test Plan/Scheduleunmatched
Utilization Managementunmatched

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