AI Operations Technology Leader

Job not on LinkedIn

🔥 15 minutes 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

🏢 Enterprise

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

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform originally developed by Ceridian. It provides enterprise-focused HR functionality including payroll, workforce management (time and attendance, scheduling), talent and performance management, benefits administration, and related workforce analytics — delivered as a single SaaS application for employers.

📋 Description

• Help define the long-term vision and roadmap for the Service CRM platform in alignment with enterprise transformation and customer experience objectives • Partner with executive leadership and AI engineering teams to shape corporate AI roadmaps and strategic priorities • Identify opportunities to leverage AI-powered solutions across Operations to improve efficiency, service quality, and business outcomes • Stay abreast of emerging AI technologies, CRM capabilities, and industry trends to proactively drive innovation • Design, develop, and implement enterprise generative AI solutions utilizing LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, prompt engineering, and conversational AI technologies • Develop AI-powered applications and services that support key operational functions, including document ingestion, customer service assistance, transaction evaluation, and reporting • Design and implement agentic workflows that automate repetitive development and operational activities • Ensure deployed solutions deliver scalability, reliability, and measurable business value • Provide technical leadership throughout the solution lifecycle, from concept and design through deployment and optimization • Lead execution of AI-led software development initiatives and champion AI-assisted development practices across technology teams • Support enterprise operational platforms, including CRM, claims, agent onboarding, and integrated service technologies • Drive modernization efforts that improve technology effectiveness and accelerate solution delivery • Ensure AI initiatives align with enterprise governance, security, compliance, and software quality standards • Partner with Architecture, Infrastructure, Cybersecurity, and Engineering teams to build scalable and maintainable solutions • Establish and support MLOps and LLMOps practices, including monitoring, version control, deployment, and governance • Drive continuous improvement and optimization of deployed AI solutions and platforms

🎯 Requirements

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related discipline preferred • 10+ years of experience in artificial intelligence, machine learning, data science, advanced analytics, or software engineering • 2+ years of experience leading AI or machine learning initiatives in production environments • Proven success designing and deploying enterprise-scale AI and machine learning solutions • Deep expertise in Python, SQL, machine learning frameworks, and modern AI technologies • Significant experience with Generative AI, Large Language Models, prompt engineering, RAG architectures, and AI agents • Strong experience with AWS and cloud-native technologies • Experience implementing MLOps and/or LLMOps frameworks and governance practices • Knowledge of vector databases, knowledge retrieval systems, APIs, and modern software architecture • Strong leadership, communication, and stakeholder management skills • Ability to align technical solutions with strategic business goals and measurable outcomes.

🏖️ Benefits

• A competitive benefits package including comprehensive medical, dental, and vision coverage • an HSA and 401(k) company match • paid time off • employer-paid life and disability insurance • Remote/hybrid work arrangement