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Atlas Systems is seeking two motivated interns interested in data visualization and emerging artificial intelligence technologies. Interns will gain hands-on experience working on real-time projects alongside experienced industry professionals.

Lead the QA and quality engineering function by defining testing strategy, managing manual and exploratory testing, administering Qase, and architecting Playwright automation. Integrate testing into CI/CD, establish quality metrics, mentor and hire QA team members, reduce flaky tests, and promote AI-assisted testing with responsible-use practices. Collaborate with Product, Engineering, and DevOps on shift-left quality, release readiness, and continuous improvement.

Configure, implement, troubleshoot, and stabilize SAP S/4HANA embedded PP/DS for a discrete manufacturing greenfield implementation. Responsibilities include production planning, detailed scheduling, capacity modeling, heuristics, PP/SD/AVC integration, master data validation, Infor-to-SAP process mapping, testing, defect resolution, data migration validation, cutover, go-live, and hypercare support. The consultant will work hands-on with SAP configuration, business users, functional teams, and technical stakeholders.

Lead enterprise SharePoint and Microsoft 365 architecture, modernization, governance, security, and platform strategy in a regulated financial-services environment. Design solutions across SharePoint Online, Teams, OneDrive, Power Platform, RPA, and AI-enabled workflows. Apply LLMs, RAG, agents, bots, MCP, and AI Builder capabilities to automate processes. Conduct business analysis, migrate legacy automations, advise stakeholders, mentor distributed teams, and oversee architecture and delivery governance.

Own the architecture, development, performance, and support of interactive WebGL product configurators integrated with Salesforce Commerce Cloud, SAP S/4HANA, PLM, PIM/MDM, middleware, OMS, and WMS systems. Translate customer configurations into accurate SKUs, bills of materials, prices, availability, and manufacturing orders. Lead front-end engineering, enterprise integrations, data contracts, asset pipelines, accessibility, personalization moderation, production support, and technical standards.

Lead enterprise SharePoint and Microsoft 365 architecture, modernization, governance, security, and migration initiatives in financial services. Design solutions across SharePoint Online, Teams, OneDrive, Power Platform, RPA, and AI technologies. Conduct business analysis, process discovery, automation design, and RPA migrations to Power Automate. Establish AI-enabled workflows using LLMs, RAG, agents, bots, Claude, MCP, and AI Builder while guiding distributed teams and advising senior stakeholders.

Lead and scale a customer-facing support engineering team, own incident escalation and SLA adherence, collaborate with Core Engineering and Customer Success, troubleshoot distributed systems (Next.js, Node.js, .NET/C#), ensure data integrity across ELT and third-party integrations, and deliver polished technical communications to enterprise clients.

Lead discovery, design, migration, and delivery of enterprise Anaplan Connected Planning solutions across finance, supply chain, sales, workforce and operations. Build scalable Anaplan models, design integrations, create executive reporting, manage testing and ALM, enable users, document governance, and mentor junior consultants to ensure successful deployments and high user adoption.

Lead architecture and implementation of scalable, distributed enterprise features across multi-cloud environments. Own full lifecycle from whiteboarding and design to coding, integrations, and post-launch stability. Build agent-driven workflows that connect autonomous AI agents to APIs and data pipelines. Execute as a hands-on individual contributor, leveraging AI tools to accelerate delivery while ensuring secure, observable, and extensible enterprise integrations.

QA Specialist responsible for designing and executing QA strategies for Power BI reports and Microsoft Fabric data pipelines. Validate front-end report functionality, query SQL backends for data accuracy, automate testing (Playwright and pipeline tests), document test cases, track quality metrics, and collaborate with developers and data engineers to resolve data issues and ensure consistent reporting between legacy and Fabric environments.