Role Description As a Solutions Architect, you will design and implement production-grade AI agents and multi-agent systems that use tools, call APIs, reason over enterprise data, and power modern mobile, web, and Power Platform experiences. We will count on you to be a hands-on delivery consultant focused on building AI & Agentic AI applications. Along the way, you will get to: - Design and implement agentic AI systems using Microsoft Foundry (tool/function calling, multi-step and multi-agent workflows). - Build and manage tools and connectors along the agentic chain (MCP-based tools, custom tool APIs, enterprise integrations). - Develop RAG and data-centric AI capabilities using Azure AI/Cognitive Search and other data sources. - Implement prompt strategies, guardrails, and evaluation loops to improve reliability, safety, and quality. Qualifications - 6+ years of professional software development, including 2+ years in a senior/lead role. - Advanced C#/.NET experience building production APIs and services. - Advanced React + TypeScript front-end development experience. - Hands-on experience delivering solutions on Microsoft Azure (App Service/Functions, Storage, Key Vault, monitoring). Benefits - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.

• Take ownership of the existing AI transformation strategy and drive its execution at pace; • Identify gaps, dependencies, and bottlenecks, resolving them proactively; • Continuously refine strategy based on market feedback, client needs, and real-world learnings. • Contribute to building AI-powered service offerings beyond headcount-based models; • Prototype, test, and scale solutions from proof-of-concept to client deployment; • Define reusable AI components (knowledge bases, copilots, QA automation, intelligent routing). • Own revenue targets for innovation-driven offerings; • Partner with Sales and Business Growth teams to position AI solutions in client conversations; • Develop pricing and packaging strategies for hybrid AI + human service models. • Build repeatable frameworks for evaluating, piloting, and scaling new solutions; • Establish workflows, governance, and reporting for the innovation function; • Define and track success metrics (e.g., speed to pilot, adoption, cost efficiency, revenue impact). • Drive implementation of AI agents into internal workflows; • Partner with internal teams to identify automation opportunities that improve efficiency and margins.

• Own the integrations you ship until they’re live and moving real student data correctly. • Build and own data pipelines and integration services designed for idempotency, safe retries, and observability from the start. • Treat data integrity as sacred — integrations that silently drop, duplicate, or corrupt records are worse than ones that fail loudly — and catch discrepancies before a client does. • Drive root causes to resolution across incidents, sync failures, and data discrepancies, rather than patching symptoms or papering over a flaky upstream API. • Surface production risks early — schema drift, upstream API changes, rate limits, credential expiry, partial-failure edge cases — before they become incidents. • Generalize fixes that help more than one integration into shared libraries, escalate broad-blast-radius decisions to the relevant Principal Engineer, and drive completed work all the way to release.

• Lead & Mentor capabilities of Solution Managers and Solution Engineers to improve design and ideation of client solutions (No direct reports). • Support training and quality reviews for traditional MHE technologies, Sortation, conveyance, case storage & AMR/AGV (GTP/Move) applications. • Strong understanding of controls application, capabilities & use in system designs. • Develop ROI strategies for applied material handling solutions. • Analyze client’s business down to the DNA level from their available data and understand the design criteria necessary to provide an intelligent material handling solutions for their needs. • Apply results of data analysis and understanding of our client’s business to develop efficient processes, including layouts, workstations, and traditional material handling systems that bolt on to a base MHE and AMR/AGV (GTP/Move) technical application. • Develop capital plans involving appropriate traditional MHE equipment, AMR/AGV (move and GTP), etc. including scheduling, resource planning and budgeting. • Develop KPI-focused applications and technologies to increase throughput, efficiency, and revenue. • Work closely with a client’s leadership and/or operations team to help provide solutions to increase productivity and accuracy. The communication and presentation of these solutions are a critical aspect of this role. • Serve as subject matter expert for engineering related areas such as ergonomics, MOST rate analysis, best practices and operator safety in traditional MHE, AMR/AGV & GTP technical application. • Work closely with Supply Chain Services Leadership and Client Account Executives to ensure Solutions team designs are aligned to client’s goals. • Conduct WMS and WES software comparisons and present results to clients as part of their design solutions.