Senior Technical Lead

• Design, develop, and deploy intelligent agents and copilots using Microsoft Copilot Studio, Azure AI Foundry, and Google Gemini.
• Build agent-driven experiences that support learning Client, skills development, knowledge retrieval, content recommendations, and employee enablement.
• Develop Azure Functions, APIs, and serverless services to support agent orchestration, integrations, and automation workflows.
• Create Retrieval-Augmented Generation (RAG) solutions leveraging enterprise content repositories and learning platforms.
• Integrate AI solutions with learning technologies such as Workday Learning, SuccessFactors, Viva Learning, LinkedIn Learning, and other content providers.
• Develop custom connectors and integrations with applications like Microsoft 365, SharePoint, Teams, Power Platform, and other enterprise systems.
• Collaborate with product managers and business stakeholders to identify high-value AI use cases and translate requirements into scalable solutions.
• Establish prompt libraries, agent instructions, evaluation frameworks, governance controls, and monitoring practices.
• Support technical architecture, proof-of-concept development, pilot programs, and production deployments.
• Stay current on emerging capabilities across Microsoft Copilot, Azure AI, Gemini, and agentic AI frameworks., We’re seeking a future team member for the role of Senior Associate, Reconciliation to join our Managed Account Solutions team. This role is located in Berwyn, Pennsylvania In th…
• 10 days ago

• 5+ years of software development, solution architecture, or platform engineering experience.
• Proven experience developing applications using Microsoft Copilot Studio and Azure AI Services.
• Strong hands-on development skills in Python, JavaScript/TypeScript, Azure Functions, REST APIs, and Microsoft Graph API.
• Experience developing solutions using Google Gemini APIs and agent frameworks.
• Experience designing RAG architectures using vector databases, embeddings, and enterprise knowledge repositories.
• Experience integrating enterprise SaaS platforms and learning systems.
• Strong understanding of prompt engineering, agent orchestration, tool calling, memory, grounding, and evaluation methodologies.
• Experience working within enterprise security, compliance, and governance requirements.
• Strong verbal and written communication skills.
• Ability to communicate effectively with stakeholders., * Experience with Viva Learning, Workday Learning, LinkedIn Learning, Degreed, SuccessFactors, or other enterprise learning ecosystems.
• Experience building custom Copilot extensions, plugins, actions, and connectors.
• Familiarity with Azure AI Search, Azure Functions, Logic Apps, Power Automate, and Power Platform.
• Experience implementing skills inference, learning recommendations, talent marketplace, or career development solutions.
• Knowledge of HR, Learning & Development, Digital Adoption, or Workforce Transformation domains.
• Experience working in regulated environments with strong privacy and compliance requirements.

Skills:

• Machine Learning.
• Statistical modeling.
• MS SQL.
• Python.
• PyTorch.
• TensorFlow.
• Microsoft Copilot Studio.
• Azure AI Services.
• Google Gemini.
• JavaScript.
• TypeScript.
• Azure Functions.
• REST APIs.
• Microsoft Graph API.
• RAG architectures.
• Vector databases.
• Prompt engineering.

Qualification And Education:

• 5+ years of software development, solution architecture, or platform engineering experience.
• Proven experience developing applications using Microsoft Copilot Studio and Azure AI Services.

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