<p>Position Overview</p><p>We are seeking a ServiceNow Solution Architect to lead enterprise‑level architecture initiatives within the ServiceNow platform ecosystem, with a strong focus on integrations, governance, and solution design. This role is responsible for shaping architecture strategy, driving technical standards, and ensuring alignment between business objectives and IT solutions.</p><p>The ideal candidate brings deep experience across enterprise architecture disciplines, strong ServiceNow platform expertise, and the ability to lead complex solution designs across business, application, data, and infrastructure domains. This is a highly visible role requiring cross‑functional leadership and the ability to influence stakeholders at all levels.</p><p><br></p><p>Key Responsibilities</p><p>Enterprise Architecture & Strategy</p><ul><li>Define and lead the implementation of enterprise architecture aligned to business strategy.</li><li>Develop roadmaps for application and platform evolution from current to future state.</li><li>Establish architecture principles, standards, and governance frameworks.</li><li>Analyze business drivers and translate them into technical change requirements.</li></ul><p>ServiceNow Platform Architecture</p><ul><li>Design and lead architecture solutions across the ServiceNow platform, including core platform, CMDB, integrations, and security.</li><li>Support both inbound and outbound system integrations.</li><li>Ensure solution alignment with enterprise architecture standards and policies.</li></ul><p>Solution Design & Governance</p><ul><li>Review business processes and identify improvement opportunities.</li><li>Lead solution architecture design and ensure adherence to governance standards.</li><li>Facilitate evaluation and selection of software solutions and configurations.</li><li>Document architecture designs, decisions, and solution approaches.</li></ul><p>Cross‑Functional Leadership</p><ul><li>Partner with development teams, infrastructure teams, and business stakeholders to deliver aligned solutions.</li><li>Work closely with program management teams to ensure execution aligns with architectural plans.</li><li>Communicate architecture strategy and technical concepts to executive and technical audiences.</li></ul>
<p>We are seeking an experienced SAP Techno-Functional Lead with a strong IT engineering and solution architecture background to design, develop, and implement SAP solutions supporting end-to-end manufacturing, production-to-ship, and order fulfillment processes. This role requires deep expertise across SAP PP/DS, WMS, ABAP, and Fiori, with hands-on experience integrating SAP S/4HANA with MES, PLM, and B2B platforms. Familiarity with CAP and RAP is a plus.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and implement SAP solutions across production planning and scheduling (PP/DS), warehouse operations (WMS), and order-to-ship processes</li><li>Lead solution architecture efforts, defining technical architectures, integration patterns, and cross-platform designs</li><li>Analyze business processes to identify gaps and translate requirements into functional and technical solutions</li><li>Deliver custom solutions using ABAP and Fiori to meet business and operational needs</li><li>Partner with manufacturing, supply chain, warehouse, engineering, and operations teams to ensure alignment with business objectives</li><li>Lead cross-functional and cross-platform integrations between SAP S/4HANA, MES, PLM, WMS, and B2B systems</li><li>Oversee configuration, development, and programming to ensure scalable, efficient, and maintainable solutions</li><li>Support analytics and reporting using SAP Analytics Cloud (SAC) to provide actionable operational insights</li><li>Act as a bridge between technical teams and business stakeholders to ensure clear communication and successful delivery</li></ul><p>Qualifications</p><ul><li>Bachelor’s degree in Information Technology, Computer Engineering, or a related field (advanced degree preferred)</li><li>8+ years of SAP experience, including 4+ years in techno-functional leadership or solution architecture roles</li><li>Strong expertise in SAP PP/DS, WMS, production planning, order-to-ship, and manufacturing operations</li><li>Hands-on experience with ABAP and Fiori development</li><li>Experience with SAP S/4HANA, SAP Analytics Cloud (SAC), and integration technologies (MES, PLM, B2B)</li><li>Knowledge of CAP, RAP, or other modern SAP development frameworks is a plus</li><li>Proven ability to design and deliver end-to-end manufacturing and warehouse solutions</li><li>Excellent communication, stakeholder management, and cross-functional collaboration skills</li><li>Manufacturing, warehouse, or supply chain domain experience strongly preferred</li></ul><p><br></p>
<p>We are seeking a Cloud / AI Engineer to be responsible for designing, building, and deploying production‑ready AI agents that support enterprise workflows. This is a hands‑on, execution‑focused role that works with modern agent platforms such as Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI to deliver secure, reliable, and well‑governed AI solutions across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design, build, and deploy AI agents using Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI</p><p>· Develop agent workflows including intent handling, tool calling, memory management, and multi‑step task execution</p><p>· Create and optimize prompts, system instructions, and grounding strategies to ensure consistent and predictable agent behavior</p><p>· Implement Retrieval‑Augmented Generation (RAG) architectures using enterprise data sources, APIs, and document repositories</p><p>· Integrate AI agents with enterprise systems and APIs such as ServiceNow, internal platforms, and cloud services</p><p>· Deploy and manage agents across development, test, and production environments</p><p>· Implement security controls including identity management, authorization, and data access boundaries for AI agents</p><p>· Monitor agent performance through logging, usage analysis, and quality metrics to improve reliability and effectiveness</p><p>· Troubleshoot agent behavior, tool failures, and system integration issues</p><p>· Collaborate with platform, security, and application teams to deliver approved AI agent use cases</p>