Accountabilities:

Collaborate with program leads, governance document authors, and engineering teams to clarify platform requirements and define expected agent behavior.

Analyze governance documentation, business requirements, and technical specifications to create accurate, clearly structured, and well-cited agent configurations.

Design, configure, implement, and maintain declarative and custom agents using Microsoft Copilot Studio and Microsoft 365 Copilot, grounded in SharePoint libraries, Agile QMS copies, and partner SharePoint sites.

Develop and refine agent instructions, topics, actions, and knowledge sources to ensure accurate, properly cited, and consistent responses across different audiences.

Configure persona-specific agents and behaviors for commercial, functional, engineering, customer, and auditor audiences.

Design and implement robust Retrieval-Augmented Generation (RAG) strategies to improve answer accuracy, citation integrity, and the security of grounded responses.

Extend Copilot capabilities where necessary using Azure AI Search, Azure OpenAI/Azure AI Foundry, and Microsoft Graph connectors.

Build and maintain content architecture, metadata, and taxonomies, applying appropriate document chunking and tagging to improve AI consumption and retrieval.

Plan and evaluate search relevance tuning and agent quality assessments, measuring accuracy, adoption, and user feedback.

Identify, document, and report agent quality issues, providing supporting evidence, logs, and actionable remediation recommendations.

Enable on-demand generation of PowerPoint, Word, Excel, and PDF documents using platform content and approved brand templates.

Apply Microsoft Purview sensitivity labels, permissions, and data loss prevention controls to ensure agents only surface information users are authorized to access.

Build and maintain reusable agent configurations, prompts, runbooks, and documentation, prioritizing efficiency, portability, traceability, and quality controls.

Keep configuration artifacts organized and aligned with governance, compliance, and audit requirements.

Work closely with product, engineering, and governance stakeholders to anticipate platform changes, review designs, and validate implementations.

Proactively identify risks, escalate critical issues, and recommend mitigation strategies to support reliable and compliant deployments.

Participate actively in Agile ceremonies, including stand-ups, sprint planning, retrospectives, and backlog grooming.

Requirements

At least 5 years of relevant professional experience.

At least 2 years of experience in Senior, Lead, Manager, or Owner-level positions.

Proven experience managing engagements involving teams of 5 or more full-time employees.

Strong background in software, platform, and data solution development, including taking AI/LLM solutions into production.

Hands-on experience with Azure AI and Machine Learning services.

Background in database development supporting both structured and unstructured data requirements.

Practical experience developing Generative AI applications.

Proficiency with Microsoft Copilot Studio for building and configuring AI agents.

Strong working knowledge of Microsoft SharePoint for enterprise content and document management.

Experience designing and developing RAG applications.

Proficiency in Agile delivery methodologies and the ability to communicate effectively across distributed, multi-vendor stakeholder groups.

Professional English proficiency at B2 level or higher.

Proactive, accountable approach to problem-solving, with strong communication, collaboration, and stakeholder management skills.

Nice to have

Experience with AWS Bedrock and Amazon Kendra for AI and enterprise search capabilities.

Familiarity with AWS cloud infrastructure and services.

Experience with Azure AI Search and Azure OpenAI Service for intelligent search and generative AI solutions.

Knowledge of Data Loss Prevention (DLP) practices and sensitive information protection.

Background in data modeling and structured information architecture.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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