# Agent Solution Architect (Logistics) at project44 > Poland · Staff · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Aproject44%3A8210894 (read 2026-11-04). ## Facts (observed) - Company: [project44](https://alderhq.app/companies/project44) - Location text: Krakow, Poland; Poland - Kraków - Where it can be done from (inferred): Poland (evidence: "Location: Krakow, Poland; Poland - Kraków") - Posted: 2026-09-22 (44 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/project44/jobs/8210894 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Poland, n 17): p25 $17k, median $34k, p75 $135k - Recognised sponsor (NL): registered as "Project44 B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) ## Description (the employer's text) ### Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. ### AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers. If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. ### Overview The Prompt Engineer/Agent Solution Architect is a specialist in building, expanding, and managing AI Agents that power project44’s AIA Operations organisation. Acting as both an AI workflow architect and operational strategist, the Prompt Engineer plays a central role in designing, governing, and scaling the operational frameworks that underpin AIA Operations globally. ### What you’ll own This role partners closely with global Product, Engineering, AI, and Operations leaders to shape AI Agents’ long-term performance trajectory, define engineering standards, and embed best practices that strengthen consistency and scalability across regions. The Prompt Engineer operates as an individual contributor — driving measurable operational improvement through deep domain expertise, disciplined experimentation, and cross-functional collaboration. ### AI Workflow Development & Prompt Engineering - Design, build, and maintain AI agent workflows that automate carrier monitoring, performance tracking, exception management, and escalation processes. - Build custom, customer-specific AI agent workflows tailored to individual carrier, lane, or account requirements, adapting core workflow patterns to unique operational needs. - Write, test, iterate, and optimise prompts for large language models, ensuring accuracy, reliability, and operational efficiency. - Run structured tests to evaluate prompt performance, comparing variants against defined criteria and documenting what works, what doesn’t, and why. - Track prompt versions and iterations, maintaining clear records of changes, evaluation outcomes, and the reasoning behind design decisions. - Identify where LLM outputs fall short of operational requirements and systematically diagnose and resolve issues through prompt refinement. - Work closely with engineers through the handover and deployment process, ensuring workflows are correctly implemented and behave as intended at go-live. - Ramp up new use cases post-launch — gradually expanding scope and coverage, surfacing edge cases as real-world volume increases, and refining prompts accordingly. - Monitor agent performance on an ongoing basis, identifying drift, degradation, or failure modes and re-iterating on prompts to maintain accuracy and reliability over time. - Maintain and support existing production workflows throughout their lifecycle, applying fixes, updates, and enhancements as customer needs, data sources, or underlying models evolve. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aproject44%3A8210894 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.