HR & AI Systems Architect

Role Overview

The HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive’s HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape.

This role is the primary technical authority for HR platform architecture — defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future-ready solutions that support Fortive’s operating companies and HR functions globally.

Core Technology Landscape

Oracle HCM Suite

Boomi Middleware

ServiceNow HRSD

Eightfold AI Platform

LMS Solutions

Integration APIs

Power BI Reporting

Oracle Analytics

Key Responsibilities

1. HR Systems & Platform Architecture

Own the end-to-end architectural design of Fortive’s HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms.

Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud-native, API-first principles.

Establish design standards, governance frameworks, and best practices across the HR tech portfolio.

Partner with IT’s Azure-based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture.

1. Integration Architecture & Engineering

Define and drive integration strategy across HR systems, moving from point-to-point patterns toward reusable, API-first services.

Lead architecture and hands-on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform.

Design scalable integration patterns — real-time APIs, event-driven integrations, and batch/file-based flows — connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems.

Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows.

Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards.

1. AI Solutions & Automation

Identify and deliver high-value AI and automation use cases across the HR lifecycle — intelligent onboarding, workflow automation, AI-assisted case triage, talent insights, and conversational self-service.

Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold’s talent intelligence platform, and ServiceNow HRSD.

Build and prototype solutions leveraging HR-specific AI platforms, taking ideas from POC to production.

Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards.

Establish AI performance monitoring and responsible AI frameworks for HR use cases.

1. Data Architecture & Governance

Design HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams.

Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics).

Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points.

1. Stakeholder Leadership & Collaboration

Serve as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions.

Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities.

Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling.

Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs.

Qualifications

• Required

• 10–12 years of progressive experience in HR technology and enterprise systems architecture.

• Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules.

• Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations.

• Strong understanding of integration patterns, including REST and SOAP APIs, event-driven architecture, synchronous and asynchronous processing, and data transformation.

• Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems.

• Experience delivering AI/ML and automation solutions within HR systems.

• Experience with digital assistants or AI-driven employee experience platforms is a plus.

• Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration.

• Experience leading or mentoring small technical teams, including integration engineers and developers.

• Must be available to work within U.S. time zones (CST).

• Preferred

• Hands-on experience with Eightfold AI or comparable talent intelligence platforms.

• Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar).

• Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines.

• Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC).

• Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products.

• Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA).

• What Success Looks Like

In the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API-first and reusable services, shipped at least two meaningful AI-powered HR use cases into production, and established architectural standards that guide the broader HR engineering team.