Forward Deployed Engineer
Summary
Forward Deployed Engineer at Harvest Group embeds with client-services teams in Rogers, AR to redesign their workflows around AI — building LLM-powered and agentic automations, integrations, and data pipelines from proof of concept to production and driving team adoption. Requires 7+ years shipping software and full-stack ability (React, TypeScript, .NET/C#, Python, SQL).
- Inc. Best Places to Work (2025, 2026)
- Great Place to Work Certified (2024)
- Fortune Best Workplaces for Women (2024)
- Fortune Best Medium Workplaces (2024)
- Fortune Best Consulting & Professional Services Workplaces (2024)
- Business Intelligence Group Best Places to Work (2023)
- Integrity – Doing what is right in all things
- Relationship – Pursuing depth, trust, and collaboration
- Service – Laboring for others with humility and care
- Excellence – Delivering extraordinary performance and results with humility
- Journey – Embracing our past and planning for our future with faith
- Embed with Client Services teams to understand their work, tools, and pain points, including the parts of the process nobody has written down.
- Map current-state processes clearly enough that the teams who own them can review, challenge, and improve them.
- Partner with Client Services leaders and end users to design future-state workflows built with AI from the start, focusing on outcomes like time returned, faster turnaround, and fewer errors and handoffs.
- Build and ship AI-enabled solutions on Harvest Group’s platforms, including LLM-powered and agentic workflows, integrations, and data pipelines, moving quickly from proof of concept to something teams use every day.
- Partner with Technology teammates to harden, deploy, and support solutions in production, building to Harvest Group's architecture and security standards.
- Make sound decisions on where AI fits and where it doesn't, including build vs. buy, model and tool selection, human review of outputs, cost, and reliability.
- Handle client data responsibly, designing in appropriate privacy, security, and quality checks for AI outputs.
- Drive adoption through training, enablement, and hands-on support during rollout, drawing on Harvest Group’s AI fluency efforts and staying with the team until new ways of working stick.
- Help generate technical and process documentation where none exists so solutions can be maintained, reused, and extended by others.
- Define and track success measures for each engagement and communicate results to leadership.
- Codify what works into repeatable discovery and deployment approaches and reusable components that future Forward Deployed Engineers can build on.
- Share field learnings with Product and Technology leadership to inform Harvest Group's broader platform and product direction.
- 7+ years building and shipping software in product, solutions engineering, internal tooling, or similar roles focused on solving business problems.
- Hands-on experience shipping LLM-based solutions that people rely on, including prompt and system design, retrieval over structured and unstructured data, agentic workflows, and evaluating output quality.
- Full-stack ability to build working solutions end to end. Experience with React, TypeScript, .NET/C#, Python, and SQL experience is helpful, but not all required.
- Fluency with AI-assisted development tools as a core part of how you build (Claude Code, Codex, etc.).
- Experience leading discovery with business teams: interviewing users, observing how work really gets done, mapping processes, and running working sessions to design improvements or fully new workflows.
- A track record of taking solutions from prototype to everyday use, with attention to reliability, cost, maintainability, and adoption.
- Sound judgment on where AI creates real value and where it doesn't, with the ability to make the case for what to build, change, or stop.
- Ability to work effectively without direct authority, influencing business leaders and engineers through the quality of your thinking and your follow-through.
- Strong written and verbal communication with both business and technical audiences.
- Work samples to discuss during the interview, such as solutions shipped, processes redesigned, or case studies with measurable results.
- Experience in a forward-deployed, solutions engineering, or embedded engineering role.
- Background in agencies, consulting, or other client-services businesses.
- Familiarity with retail, CPG, e-commerce, retail media, digital shelf, or similar integrated commerce domains.
- • Experience with MCP, agent frameworks, evaluation tooling, or workflow automation platforms.
- Experience with Microsoft Azure and modern cloud data warehouses such as Snowflake, Databricks, or BigQuery.
- Experience working near production systems, including APIs, source control, CI/CD, and observability.




