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Forward Deployed Engineer

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Systems Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below

Job Description:
Forward Deployed Engineer

Location:
Minneapolis, MN (Hybrid)

Multiple Openings
- Jr To Senior Level Roles

Role Overview

We are looking for a Forward Deployed Engineer who can work directly with customers to

understand their business problems, design practical solutions, and build working software that

creates measurable impact.

This role combines software engineering, solution architecture, consulting, product thinking, and

customer-facing execution. The ideal candidate should be comfortable moving between customer

conversations, messy business workflows, technical design, rapid prototyping, integration,

deployment, and product feedback.

This is not a pure back-office engineering role. The Forward Deployed Engineer will work close to

the customer, understand the real-world context, and build solutions that solve actual operational,

data, automation, and AI-led business problems.

Key Responsibilities

Work closely with customers to understand business processes, pain points, operational

bottlenecks, system landscape, data flows, and success metrics.

Translate customer problems into technical solution designs, prototypes, MVPs, integrations,

automations, or product configurations.

Build hands-on solutions using modern engineering practices across APIs, databases, cloud

platforms, workflow tools, enterprise systems, and AI/GenAI technologies.

Develop proof-of-concepts and pilots that can demonstrate business value quickly and evolve

into production-grade implementations.

Integrate solutions with enterprise applications such as ERP, CRM, data platforms, workflow

systems, collaboration tools, and third-party APIs.

Partner with product, engineering, design, delivery, and customer success teams to convert

repeated customer needs into reusable platform capabilities.

Support customer deployments, testing, troubleshooting, user adoption, and handover to delivery

or support teams.

Create technical documentation, architecture notes, implementation playbooks, demo scripts,

reusable components, and customer-specific solution guides.

Act as the technical bridge between the customer and internal product/engineering teams.

Identify opportunities for automation, AI adoption, data improvement, process redesign, and

platform expansion.

Bring back field learnings to influence product roadmap, engineering priorities, reusable

accelerators, and go-to-market propositions.

Required Skills and Experience

3 8 years of experience in software engineering, solution engineering, implementation

engineering, product engineering, technical consulting, or customer-facing technology roles.

Strong software engineering fundamentals and hands-on experience in at least one major

programming language such as Python, JavaScript/Type Script, Java, C#, or Go.

Good understanding of APIs, databases, cloud services, authentication, system integration, and

application deployment

.

Ability to understand business workflows and convert them into clear technical designs.

Experience building prototypes, MVPs, internal tools, dashboards, automations, or production grade applications.

Comfortable working with structured and unstructured data.

Strong problem-solving skills with the ability to navigate ambiguity and incomplete information.

Ability to communicate clearly with both technical and non-technical stakeholders.

Comfortable working in fast-moving customer environments where requirements evolve quickly.

Strong ownership mindset and ability to take a problem from discovery to working solution.

Good to Have

Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, or

model integration.

Experience integrating with enterprise systems such as Salesforce, SAP, Oracle, Service Now,

Workday, Microsoft Dynamics, Hub Spot, Jira, or similar platforms.

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, analytics platforms, and

reporting workflows.

Experience in consulting, pre-sales engineering, solution architecture, implementation, or productled delivery.

Exposure to industries such as retail, BFSI, healthcare, manufacturing, telecom, media, travel, or

technology services.

Experienc…

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