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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Systems Analyst - **Company:** Onto Innovation - **Location:** Wilmington, MA, United States - **Experience:** Expert - **Salary:** $115,200.0 - $172,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Information Systems, Decision Support Systems, Python (Programming Language), Windows PowerShell, Software Deployment, Software Engineering, Data Processing, Scripting, Data Classification, Data Ingestion, Large Language Models, IT Architecture, Information Technology, Data Analytics, Data Management - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1016ca8c6eced253 ## About the Role Do you have experience in Software engineering?, * Bachelor's degree in Computer Science, Information Systems, Engineering, Data & Analytics, or equivalent practical experience. * 5-7 years of overall professional experience delivering technical solutions, automation, analytics, or software development in an enterprise environment. * Experience enabling or supporting other teams in adopting new technologies or technical capabilities. * Strong analytical and problem-solving skills, with the ability to navigate ambiguous problem spaces and large data sets * Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders. * Demonstrated experience architecting enterprise-grade AI or advanced analytics solutions, from use-case definition through production deployment. Technical Qualifications * Hands-on experience with Python, PowerShell, and/or other scripting languages for automation, integration, and data processing. * Experience building or supporting AI enabled solutions using enterprise AI tools and platforms (not custom LLM development). * Experience working in a Microsoft-centric enterprise environment, including Microsoft AI, automation, and data platforms. Preferred * Experience in manufacturing, semiconductor, high-tech, or capital equipment environments. * Familiarity with additional AI tools and platforms beyond Microsoft (e.g., Claude or similar technologies), applied in a pragmatic, enterprise context. * Experience contributing to technology evaluation, pilot programs, or platform standardization efforts. * Experience working across both cloud and on-prem systems. ## Description AI Solution Architecture & Design * Architect end-to-end AI solutions, defining patterns for data ingestion, model usage, orchestration, validation, security, and integration into enterprise systems. AI Enablement & Cross Functional Support * Enable teams across IT, Finance, HR, Legal, Operations, Supply Chain, Engineering, and other functions to adopt AI effectively and responsibly. * Act as a hands-on technical advisor, helping teams shape AI use cases, solution designs, and implementation approaches. * Provide guidance on when and how AI should be applied versus traditional automation or analytics. * Evanglize AI and co-lead AI cross functional AI champion network. * Develop reference examples, patterns, and lightweight guidance that help teams' self-serve while remaining aligned to enterprise standards. Applied AI Solution Delivery * Design and implement AI enabled workflows, automation, and analytics solutions where direct development is required. * Prototype solutions, validate value, and mature successful approaches into reusable or production ready implementations. * Support integration of AI outputs into business processes and systems, including reporting, decision support, and operational workflows. * Balance speed with maintainability by applying appropriate documentation, validation, and operational considerations. AI Technology Evaluation & Vetting * Evaluate emerging AI tools, platforms, and capabilities to determine enterprise fit and risk. * Build ROI measurement frameworks for rollout of AI capability. * Provide informed recommendations on adoption, pilots, or rejection of AI technologies in partnership with IT, Security, and Data & Analytics leadership. * Help ensure a controlled and intentional expansion of Onto's AI toolset over time. Data & Analytics Alignment * Partner with data owners and analytics teams to ensure AI solutions leverage trusted, governed data sources. * Apply strong analytical thinking to measure impact, validate outputs, and communicate results. * Support development of metrics and reporting to track AI adoption and value realization. Responsible & Secure AI Usage * Define and enforce AI architecture patterns that align data classification, access control, and least-privilege principles with enterprise security and governance standards. * Ensure AI solutions align with enterprise security, privacy, compliance, and IP protection requirements. * Promote responsible AI practices, including transparency, appropriate human-in-the-loop validation, and awareness of tool limitations. * Help reinforce consistent, responsible AI usage practices through examples and guidance. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [JavaScript? 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