Forward Deployed Engineer

Hi, Hope you are doing well. Position: Forward Deployed Engineer Location: Remote (but someone who is willing to relocate to Minneapolis will also preferred) Duration: Long Term/W2 Job Description: We are looking for a Forward Deployed Engineer (FDE) who partners directly with Client business teams to identify high-value problems and deliver AI-led automation and innovation under centralized council oversight. An FDE in Client is an empowered AI builder embedded within business units to understand real-world context, build practical solutions, and drive measurable AI driven outcomes. The role blends hands-on engineering, solution architecture, product thinking, consulting, and customer-facing execution. Key Responsibilities 1. Business Embedding and Outcome Ownership · Embed with business and engineering teams to own AI outcomes within a defined business domain. · Build and deliver AI solutions hands-on; this is an execution role, not an advisory role. · Convert AI potential into production value through code-first delivery and active repository contributions. 2. Problem Discovery and Solution Design · Understand business processes, pain points, systems, data flows, and success metrics. · Translate problems into MVPs, integrations, automations, and production-ready solutions with an ownership mindset · Build across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies. 3. Rapid Prototyping and Value Validation · Own the journey from discovery to working solution, rapidly proving business value through pilots and POCs 4. Integration, Adoption, and Scale · Integrate with enterprise platforms, data systems, workflows, collaboration tools, and third-party APIs. · Document architectures, implementation playbooks, reusable components, and customer-specific solution guides. · Feed field learnings into product roadmap, accelerators, and go-to-market propositions. Required Skills and Experience · 4–8 years of experience in AI led engineering, implementation, product, consulting, or customer-facing technology roles. · Strong engineering fundamentals with hands-on coding experience in Python, JavaScript/TypeScript, Java, .NET/C#, or Go. · AI proficiency is mandatory; candidates may come from software engineering, data science, UX, or related domains with proven hands on experience. · Daily AI tool usage, demonstrable code contributions, and documented token usage. · Strong analytical thinking and expertise in effectively utilizing data to derive AI solutions to solve business problems. · Strong understanding of APIs, databases, cloud services, authentication, integrations, and deployment. · Experience in Data and analytics platforms. · Comfortable with structured and unstructured data. · Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration and model training. · Cloud experience across AWS, Azure, or Google Cloud. · Good communication, adaptability, and problem-solving in ambiguous environments. Good to Have · Knowledge of ML algorithms, model building, deployment, deep learning, and NLP. · Experience integrating with Salesforce, Jira, Rally, Oracle, ServiceNow, Microsoft Dynamics or similar platforms. · Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, analytics, and reporting workflows. · Healthcare exposure, especially contact centers, claims automation, finance, or technology services. Show more Show less