Forward Deployed Engineer

Forward Deployed EngineerLocation – Minneapolis, MN (On-site is preferred but we can try for Remote from US based candidates)Contract & FTE BothKey Expectations:Candidates must be hands-on with strong technical expertise.Should have excellent communication skills.Experience range required:3–5 years8–10 years20+ yearsRole OverviewWe 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 ResponsibilitiesWork 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 Experience3–8 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/TypeScript, 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, ServiceNow, Workday, Microsoft Dynamics, HubSpot, 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 product led delivery.Exposure to industries such as retail, BFSI, healthcare, manufacturing, telecom, media, travel, or technology services.Experience working with customers during pilots, demos, workshops, discovery sessions, and production rollouts.Ideal Candidate ProfileThe ideal candidate is a business problem solver who can engineer solutions. They should be able to sit with a customer, understand the messy reality of the business, identify the actual problem beneath the stated problem, and quickly build something useful. They should not wait for perfect requirements. They should be curious, hands-on, structured, and outcome oriented. They should enjoy working at the intersection of customer pain, technology possibility, product opportunity, and business value.Success MeasuresSuccess in this role will be measured by: Successful delivery of customer pilots, prototypes, and production solutions. Reduction in time from customer problem discovery to working solution. Customer adoption and satisfaction. Number of reusable solution patterns, accelerators, or components created. Quality of feedback provided to product and engineering teams. Ability to convert field learnings into scalable product capabilities. Contribution to revenue expansion, platform adoption, and long-term customer value.Sample Projects This Role May Work OnBuild a GenAI assistant that helps customer service teams search enterprise knowledge and resolve cases faster.Create an automation that connects CRM, ERP, and reporting systems to reduce manual work.Develop a prototype that uses customer data to generate insights, recommendations, or next best actions.Integrate an AI workflow into an existing business process such as order management, finance operations, HR support, marketing operations, or procurement.Build dashboards, internal tools, and lightweight applications to help customers make faster decisions.Turn a repeated customer implementation pattern into a reusable product feature or accelerator.