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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Insight Global - **Location:** Oakland, CA, United States - **Experience:** Starter - **Salary:** $149,760.0 - $187,200.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Big Data, Data Hub, Enterprise Content Management, Knowledge Management, Machine Learning, Systems Integration, Microsoft Power Automate, Prompt Engineering, Generative AI, Virtual Agents, Powerapps - **Published:** July 11, 2026 - **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/california/oakland/ai-engineer/job-550788/ ## About the Role * Experience building solutions in Microsoft Copilot Studio. * Understanding of AI agents, generative AI, prompt engineering, and agentic workflows. * Experience gathering business requirements and translating them into technical solutions. * Strong analytical and problem-solving skills. * Ability to work independently while collaborating effectively with diverse stakeholders. * Excellent communication and facilitation skills. * Process-oriented mindset with strong attention to detail. * Experience working with business users, document-heavy workflows, or knowledge management solutions. Preferred Qualifications * Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse). * Familiarity with Microsoft 365 integrations and enterprise data sources. * Experience supporting regulatory, compliance, utility, or government-related programs. * Knowledge of enterprise content management, document review, or records management processes. * Experience implementing AI solutions in highly regulated environments. Ideal Candidate Profile * Junior to mid-level professional who is eager to learn and grow. * Strong Copilot Studio builder with practical, hands-on experience. * Collaborative and adaptable, with a focus on delivering value to end users. * Comfortable working through ambiguity and helping shape solutions from concept to implementation. * Interested in business outcomes and user adoption, not just technical implementation. * Engineer-minded but highly relationship-oriented and team-focused. ## Description We are seeking an AI Engineer who is passionate about building AI-powered solutions using Microsoft Copilot Studio and agentic workflows. This role is ideal for a junior to mid-level professional who is hands-on, collaborative, and excited to solve complex business challenges through AI. Rather than building custom AI models or developing sophisticated machine learning solutions, this individual will focus on designing, configuring, and deploying AI agents in Copilot Studio that improve productivity, automate research and quality control processes, and support decision-making across the organization. The ideal candidate is technically curious, process-oriented, user-focused, and enjoys working closely with business stakeholders to translate requirements into practical AI solutions., * Design, build, and maintain AI agents and agentic workflows within Microsoft Copilot Studio. * Partner closely with business users to understand workflows, pain points, and opportunities for AI-enabled automation. * Develop AI solutions that can search, retrieve, summarize, and analyze information from large internal document repositories and structured data sources. * Configure agents that support document creation, content review, quality assurance, and compliance-related processes. * Build AI-powered reference and research assistants that help teams identify relevant historical decisions, commitments, requirements, and supporting documentation. * Create quality control agents that validate content against defined standards, naming conventions, formatting requirements, and business rules. * Continuously improve agent performance through testing, stakeholder feedback, and iterative enhancements. * Help establish best practices for AI agent development, governance, and user adoption. * Collaborate with cross-functional teams to identify additional business use cases and expand AI capabilities over time. Initial Project Focus The initial engagement will support PG&E's Wildfire Mitigation Plan (WMP) development process. The WMP is a highly complex regulatory filing that requires extensive analysis, documentation, consistency checks, and coordination across multiple stakeholders. Examples of agent capabilities may include: * Reference Agent o Search internal documents, prior filings, historical decisions, and organizational knowledge repositories. o Surface relevant information that may support or contradict current content. o Assist authors with research and context gathering. * Regulatory Research Agent o Analyze historical feedback, decisions, and guidance from Energy Safety and other relevant agencies. o Identify trends, precedents, and considerations that may impact current filings. * Quality Control Agent o Review content against established guidelines and requirements. o Validate formatting, naming conventions, and consistency across large volumes of data and documentation. o Flag potentially conflicting statements or commitments. * Commitment Tracking Agent o Identify commitments, actions, and obligations within draft content. o Highlight language that may require revision or additional review. ## Related Videos - [PoC “Austria Experience Data Hub”](https://www.wearedevelopers.com/videos/92-poc-austria-experience-data-hub) - [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) - [Community Interview - PyLadies Berlin](https://www.wearedevelopers.com/videos/837-community-interview-pyladies-berlin) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)