AI Engineer

Join a global enterprise AI team building the next generation of agentic solutions across brands, regions, and business functions. This role blends hands-on engineering with platform enablement, helping shape how intelligent agents are built, governed, and scaled across the organization. Responsibilities

• Design and develop production-ready agentic AI solutions using Microsoft Copilot Studio and Azure AI Foundry.
• Build pro-code extensions for low-code tools, including custom connectors, actions, dataflows, and reusable components.
• Implement advanced capabilities such as multi-agent orchestration, human-in-the-loop approvals, and model context protocol integrations.
• Create secure, scalable RAG pipelines, vector search solutions, and retrieval workflows for enterprise knowledge sources.
• Develop evaluation and testing frameworks to measure accuracy, quality, safety, and performance of AI agents.
• Build observability and telemetry solutions to monitor usage, cost, errors, and business impact.
• Establish governance standards for naming, environments, lifecycle management, data protection, and publishing controls.
• Train and support citizen developers by creating templates, guides, guardrails, and enablement materials.
• Identify when low-code solutions need to transition into pro-code implementations and guide that migration.
• Partner with technical and business stakeholders to deliver secure, effective, and scalable agent solutions.

• 8+ years of software engineering experience, or 12+ years for a principal-level profile, with at least 2 years in AI/ML, conversational AI, or agentic AI.
• Hands-on experience with Microsoft Copilot Studio, including authoring, actions, knowledge sources, and custom extensions.
• Strong experience with Azure AI Foundry and related services such as Azure OpenAI, Azure AI Search, Prompt Flow, Semantic Kernel, and Azure AI Agent Service.
• Proficiency in TypeScript, Python, or C#, with experience building APIs, integrations, and production software.
• Experience with CI/CD, infrastructure as code, and container-based development practices.
• Solid understanding of agentic AI patterns, including orchestration, tool use, RAG, embeddings, evaluation, and guardrails.
• Ability to communicate technical concepts clearly to both engineering teams and business leaders.
• Bachelor’s degree in computer science, engineering, AI/ML, or a related field, or equivalent experience.

Preferred Skills

• Experience with additional agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
• Background in Power Platform administration, governance, or toolkit deployment.
• Familiarity with MCP servers, event-driven architectures, and enterprise integration patterns.
• Experience with AI observability, tracing, Application Insights, and monitoring dashboards.
• Knowledge of responsible AI practices, including content safety, PII handling, and prompt injection defenses.
• Exposure to customer-facing AI platforms such as Sierra AI or similar tools.
• Experience creating training programs, developer guides, or template libraries for technical enablement.
• Master’s degree in a relevant discipline.

Horizontal Talent is committed to fostering an inclusive environment where people of all backgrounds, perspectives, and experiences feel welcome and supported. We value equity, respect, and belonging, and we encourage qualified candidates to apply.