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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Scientist - **Company:** YRH - PACKSIZE LLC - **Location:** Salt Lake City, UT, United States - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Audit Trail, Microsoft Azure, Microsoft Online Services, Cloud Computing Security, Cloud Engineering, Information Engineering, Data Security, Software Design Patterns, Monitoring of Systems, Log Analysis, Role-Based Access Control, Azure Machine Learning, Salesforce.Com, SAP (Applications), Search Technologies, Microsoft SharePoint, Software Engineering, Systems Integration, Data Logging, Chatbots, Microsoft Power Automate, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Build Management, AI Platforms, Data Analytics, Low-code, Machine Learning Operations, Virtual Agents, Api Management, Databricks - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cc69ee39752b2c44 ## About the Role Do you have experience in Software engineering?, * Azure AI services (Foundry, Cognitive Services, AI Search) * Microsoft Copilot Studio / Power Platform * Cloud-native architecture (Azure) * Experience building: * Conversational AI / chatbot / agent solutions * RAG pipelines and LLM-based applications * API integrations, MCP frameworks, and enterprise workflows * Architecture & Engineering * Proven ability to design: * Scalable, secure AI platforms * Hybrid architectures (low-code + pro-code) * Experience with: * MLOps and CI/CD pipelines * Monitoring and observability (App Insights, logging, tracing) * Secure cloud networking and identity * Validating and optimizing AI systems * Evaluating and selecting AI platforms and tools (cloud-native and third-party) * Defining design patterns, standards, and guardrails for AI solutions * Balancing rapid experimentation with maintaining platform consistency and avoiding fragmentation * Governance & Responsible AI * Experience implementing: * AI governance frameworks * Data security, privacy and compliance controls * Lifecycle management and deployment gating * Understanding of regulatory considerations (e.g., data privacy, AI compliance risks) * Experience with auditing, monitoring, and incident response for AI systems in production * Experience * 5+ years in cloud / data / AI engineering or architecture roles * 5+ years in software development or data engineering * Hands-on experience building LLM-based applications or agentic AI solutions * Preferred Qualifications * Microsoft certifications (Azure AI Engineer, Azure Architect, etc.) * Experience integrating AI agents with: * Microsoft Teams / M365 * ERP / CRM systems (SAP, Salesforce) * Familiarity with Databricks or lakehouse architectures * Experience delivering multi-phase AI programs (pilot scale) * Engagement Model * First 90 days: co-build solutions with Microsoft Partner * Establish AI foundation and standards * Drive adoption and value realization ## Description We are seeking an experienced AI Engineer to partner with our internal Data & Analytics and IT teams to design, build, and operationalize production-grade AI agents within the Microsoft ecosystem. This role will focus on delivering enterprise-ready solutions using: * Microsoft Copilot Studio (low-code orchestration) * Azure AI Foundry (custom agent development & advanced processing) The engagement will operate in a co-building model, working alongside consultants and internal teams to deliver initial AI pilot agents while establishing a scalable, governed AI platform. What You'll Do 1. AI Agent Architecture & Design * Define reference architecture for agentic AI solutions across Copilot Studio and Azure AI Foundry * Establish design patterns for: * Retrieval-Augmented Generation (RAG) * Multi-agent orchestration * Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) * Guide use-case prioritization and platform selection (Studio vs Foundry vs hybrid) 2. AI Agent Development & Delivery * Build and deploy production-grade AI agents, including: * Knowledge & troubleshooting agents * Operational / workflow automation agents * Data and analytics-driven agents * Implement: * Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API, connector, and system integrations 3. Platform Foundation & Governance * Establish enterprise AI guardrails, including: * Security, RBAC, and identity integration (Entra ID) * Data access boundaries and governance * Audit logging and monitoring frameworks * Define and implement: * Agent lifecycle (draft pilot production retirement) * CI/CD pipelines and deployment standards 4. Azure AI & Microsoft Ecosystem Implementation * Configure and deploy: * Azure OpenAI / model endpoints * Azure AI Search (vector + semantic retrieval) * Application Insights / Log Analytics monitoring * Build and support: * Copilot Studio environments and orchestration layers * Azure AI Foundry-based custom agent services 5. Co-Development & Enablement * Work directly with consultants and internal teams to: * Co-build pilot agents * Facilitate adoption and value-based outcomes * Partner with data engineering team on: * Data product and semantic layer alignment * AI orchestration * Observability and feedback loops * Enable internal teams on: * Agent design patterns * Responsible AI practices ## Related Videos - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [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) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)