Specialist, Engineering; Hybrid

Job Description Specialist, Digital Operations Agentic Intelligence (m/f/d)

Digital is the multiplier that will allow Development Sciences and Clinical Supply (DSCS) to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher-confidence decisions across the portfolio. The DSCS Digital Technologies (DDT) organization is tasked with the mission to pioneer and deploy innovative digital technologies that drive the acquisition, automation and utilization of data to enhance insights, efficiency, and quality of DSCS processes and methods.

The Specialist, Digital Operations Agentic Intelligence, is a hands-on technical contributor within the Agentic Intelligence team. This role supports the organization's shift from traditional business intelligence and manual reporting toward governed, AI-ready data foundations and production-grade intelligent agents. The Specialist will contribute to the design, build, testing, documentation, and operationalization of agents, data products, automations, and reporting solutions using modern data engineering, low code/pro-code agent platforms, and disciplined software development practices.

This role is intended for a technically strong early-career professional who can build with direction, learn quickly, follow engineering standards, and contribute to reusable agent patterns, governed data foundations, evaluation frameworks, and secure deployment practices. The Specialist will work across tools such as Python, SQL, Databricks, Dataverse, Power BI, Git Hub, Copilot Studio, Gemini/Vertex AI or comparable enterprise AI platforms, and Microsoft Power Platform.

• Contribute to the development of AI-ready data foundations, semantic data layers, data pipelines, dashboards, web applications, automations, and intelligent agents that support DSCS digital operations.
• Contribute to the design, build, testing, documentation, and operational support of governed data products, reporting solutions, automations, and intelligent agents.
• Translate business needs into clear technical requirements, data requirements, agent instructions, test cases, and acceptance criteria with guidance from senior team members.
• Apply disciplined development practices, including Git-based version control, documentation, testing, reusable templates, and release-readiness checks.
• Collaborate across business, data, technology, quality, and compliance stakeholders to deliver scalable, secure, and trustworthy digital solutions.
• Demonstrate curiosity, ownership, strong problem-solving, and a builder mindset while continuing to develop knowledge of DDT systems, DSCS processes, and enterprise technology standards.

• Agentic AI Development & Governance: Support the design, build, and testing of governed agents and AI-enabled workflows using Copilot Studio, Gemini/Vertex AI or comparable enterprise AI platforms, Microsoft Power Platform, APIs, connectors, and approved data sources. Contribute to agent lifecycle activities, including intake, proof of concept, MVP readiness, deployment validation, sustainment, monitoring, and retirement.
• AI-Ready Data Foundations & Integration: Build and maintain data pipelines, curated datasets, semantic layers, and reusable data products using Python, SQL, Databricks, Dataverse, Power BI, SharePoint, and other approved enterprise platforms. Ensure data is accessible, traceable, documented, fit for purpose, and aligned with applicable governance expectations.
• BI, Web Applications & Automation: Develop and maintain dashboards, reports, web applications, Power Apps, Power Automate flows, and workflow automations that help users interact with data, submit inputs, trigger processes, review recommendations, and act on insights.
• Testing, Evaluation & Release Readiness: Create and execute test cases for agents, automations, data pipelines, and reports. Support evaluation of response quality, grounding accuracy, task success, failure modes, regression performance, monitoring needs, access controls, and responsible deployment requirements.
• Engineering Standards, Documentation & Enablement: Use Git Hub, VS Code, branching, pull requests, code review, reusable templates, design notes, runbooks, decision logs, and handover materials to make solutions maintainable, reviewable, and scalable across the team.

• Experience: 2 + years of experience in data…