Principal Engineer - HR AI Solutions

HARMAN Automotive develops integrated technology platforms and digital transformation solutions across automotive, lifestyle, and enterprise domains. The Principal Engineer will deliver AI and Generative AI solutions for Digital HR and HR business partners, including RAG pipelines, agentic workflows, analytics, integrations, governance controls, and production-grade applications across the employee lifecycle.

Responsibilities:

• Solve HR business problems with AI: Partner with Digital HR, HR COEs, HRIS, IT, Legal, Privacy, and regional stakeholders to understand business needs and identify where AI can automate work, generate insight, or improve decision support
• Act as a trusted AI consultant: Advise HR teams on AI opportunities, risks, implementation options, data readiness, governance requirements, and the trade-offs between vendor capabilities, configuration, integration, and custom development
• Build AI-enabled HR solutions end to end: Develop prototypes and production solutions such as HR knowledge copilots, employee policy assistants, case triage tools, document summarization, onboarding support, skills intelligence, workforce planning analytics, and AI-assisted process workflows
• Evaluate AI tools vendor-neutrally: Assess capabilities across HR and enterprise platforms such as Workday, ServiceNow, Microsoft, and emerging AI tools, focusing on concepts, fit, value, and feasibility rather than deep specialization in one system
• Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles, skills taxonomies, learning content, business rules, case data, requirements documents, lessons learned, and other structured or unstructured HR content
• Develop agentic workflows: Use orchestration frameworks and agent patterns to translate HR processes into reliable AI-enabled workflows with appropriate human review, escalation, and auditability
• Create analytics and visualizations: Move beyond static reporting by developing AI-driven insight generation, workforce skill heat maps, automation and augmentation analysis, replacement-impact views, and decision-support tools from integrated HR data products
• Implement enterprise-grade controls: Build guardrails, content policies, safety filters, prompt/version management, model evaluation, latency and throughput tuning, cost controls, fallback strategies, and model-routing approaches
• Protect HR data: Design solutions with privacy, PII protection, role-based access, employee-data sensitivity, works council considerations, retention requirements, and model/data governance built in from the start
• Operate production solutions: Containerize applications, automate CI/CD, monitor usage and quality, debug production issues, manage observability, and improve cost, reliability, and performance over time
• Communicate clearly and iterate quickly: Translate complex AI concepts for non-technical HR stakeholders, document recommendations, share demos, gather feedback, and build trust through practical value delivery