Senior Technical Lead (US)

Required Qualifications

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

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.

Excellent communication and stakeholder management skills.

Preferred Qualifications

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.

Key Deliverables

Production-ready AI agents and copilots supporting learning and workforce enablement use cases.

Reusable Azure Function and API services supporting enterprise AI solutions.

Integrations between AI platforms and enterprise learning technologies.

Technical documentation, architecture diagrams, and deployment procedures.

Pilot solutions that demonstrate measurable improvements in learner engagement, knowledge discovery, productivity, or operational efficiency.

Ideal Candidate Profile

A hands-on builder who can quickly move from idea to implementation, understands both Microsoft and Google AI ecosystems, and has experience creating intelligent learning experiences that combine AI, automation, and enterprise integrations. This individual should be equally comfortable developing Azure Functions, configuring Copilot agents, integrating Gemini services, and partnering with business stakeholders to deliver innovative learning technology solutions