AI Platform Engineer

🔥 3 hours ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • B2B

Dayforce is a cloud-based human capital management (HCM) and workforce management platform. It provides an integrated application for payroll, HR, benefits, time and attendance, scheduling, and talent management, designed for employers to manage the employee lifecycle. Dayforce is delivered as a SaaS solution primarily to business and enterprise customers.

📋 Description

• Design and implement AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Microsoft Fabric • Build reusable AI services, agent frameworks, prompt registries, evaluation pipelines, MCP integrations, and tool catalogs • Establish engineering standards for enterprise AI development • Create reference architectures for agents, RAG (if required), tool calling, multi-agent workflows, and Human-In-The-Loop (HITL) workflows • Provide technical guidance on when to use Copilot, Foundry, Agentforce, ChatGPT Enterprise, Claude Enterprise, and private models • Design AI-enabled solutions leveraging OneLake, Lakehouse, Data Warehouse, Data Factory, and Power BI • Establish reusable AI-ready data patterns and provide guidance to data engineering as required • Provide guidance on monitoring, telemetry, evaluation frameworks, token tracking, cost allocation, prompt performance, and agent reliability metrics • Support deployment, rollback, versioning, and incident response • Implement prompt versioning using GitHub, agent approval workflows, model routing controls, tool access controls, and usage monitoring. Automate quality control using agents in collaboration with innovation architect • Being part of the Emerging Technology team, collaborate with other team members as well as IT and business functions • Translate business use cases into reusable technical solutions

🎯 Requirements

• 5+ years software engineering experience • 3+ years of hands-on experience building solutions using Azure AI services. • Experience designing and implementing RAG architectures. • Hands-on experience with Python, TypeScript/JavaScript, Git, CI/CD, Copilot Studio Azure AI Foundry, Azure AI Search, Semantic Kernel, LangChain, and MCP • Azure AI Engineer Associate. • Hands-on experience, Microsoft Fabric, Vector databases, and in regulated industries with more than 1000 employees