AI Operations Technology Leader

Dayforce

AI-First Operations Technology Leader driving transformative AI-powered platforms across Operations. Leading the design and implementation of enterprise Service CRM solutions for a fast-growing insurance company.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise-scale AI solutions, including Generative AI and Large Language Models, while ensuring alignment with business objectives and compliance standards. Proven ability to lead AI initiatives, optimize operational workflows, and drive innovation in technology effectiveness.

Highest-signal resume keywords

Generative AILarge Language ModelsMLOpsPythonAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningData ScienceAdvanced AnalyticsPrompt EngineeringRAG ArchitecturesSQLAI AgentsVector DatabasesAPIs

Soft Skills

LeadershipCommunicationStakeholder Management

Tools & Technologies

Cloud-Native TechnologiesEnterprise CRM PlatformsMonitoring ToolsVersion Control Systems

Certifications & Qualifications

Master's Degree in Computer ScienceMaster's Degree in Data ScienceMaster's Degree in EngineeringMaster's Degree in MathematicsMaster's Degree in Statistics

Industry Keywords

AI GovernanceSoftware Quality StandardsOperational EfficiencyCustomer ExperienceEnterprise Transformation

Tech Stack

Tools & technologies

AWSCloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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