Principal Engineer - HR AI Solutions

re-zoo-me; Novi (MI); Hybrid; USD 125,000 - 184,000; Full time

Benefits offered by this job

Employee discounts on Harman products

Harman University training programs

Tuition reimbursement

Job summary

HARMAN is seeking an AI-focused professional to drive hands-on delivery of Generative AI for Digital HR and HR Business Partners. You will architect, develop, and maintain production-grade AI systems, including RAG pipelines, agentic workflows, and analytics, integrated with enterprise HR data products across Workday, ServiceNow, and Microsoft ecosystems.

You will advise HR stakeholders on AI opportunities, risks, and implementation options, building prototypes and production solutions such as

Qualifications

• 8+ years building production software or data products with ML, LLMs, or AI-enabled workflow automation.
• Strong understanding of LLMs, embeddings, RAG, and guardrails for enterprise use.
• Experience designing AI-powered HR solutions and data governance.
• Experience communicating complex AI concepts to HR leaders and stakeholders.

Responsibilities

• Solve HR business problems with AI in collaboration with HR stakeholders.
• Act as a trusted AI consultant, outlining opportunities, risks and options.
• Build end-to-end AI-enabled HR solutions including copilots and case workflows.
• Evaluate AI tools across platforms, focusing on fit, value and feasibility.
• Design and implement RAG pipelines and agentic workflows for HR data.
• Create analytics and visualizations from integrated HR data products.

Skills

8+ years exp

GenAI foundations

Consulting & comms

HR domain awareness

Governance mindset

Education

BS/MS/PhD in CS/DS/EE/Math or related

Tools

Python

FastAPI

Node.js/TypeScript

React

REST/GraphQL

Pinecone/Weaviate/FAISS/Milvus/pgvector

Docker/Kubernetes

Job description

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About The Role

Drive hands-on delivery of AI and Generative AI solutions for Digital HR and HR Business Partners. You will combine full-stack AI development with strong HR process, data, privacy, and governance awareness to solve business problems across the employee lifecycle, workforce planning, skills intelligence, talent, learning, case management, and employee experience.

This role is not centered on configuring one HR platform. Instead, you will evaluate AI capabilities across tools and vendors, advise HR stakeholders on where AI can create value, and build practical solutions when custom development, orchestration, or integration is the right path. You will architect, develop, and maintain production-grade systems that may include RAG pipelines, agentic workflows, model routing, vector search, evaluation, guardrails, observability, analytics, and visualizations integrated with enterprise HR data products and internal platforms.

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.

What You Will Do

• 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.

What You Need To Be Successful

• Experience: 8+ years of experience building production software or data products, including hands-on experience with ML, LLMs, Generative AI, or AI-enabled workflow automation.
• AI and GenAI foundations: Strong conceptual and practical understanding of LLMs, embeddings, RAG, agentic workflows, prompt engineering, model orchestration, model evaluation, guardrails, and responsible AI practices.
• Programming: Proficiency with Python, such as FastAPI, NumPy, Pandas, scikit-learn, Pydantic, and Jinja2, plus Node.js or TypeScript; strong experience with APIs, distributed systems, and integration patterns.
• Full-stack delivery: Ability to build internal applications, dashboards, copilots, and workflow tools using modern front-end and back-end patterns, such as React, REST or GraphQL services, and reusable UI/data components.
• Data and search: Experience with SQL and NoSQL databases, search and analytics platforms, vector databases such as Pinecone, Weaviate, FAISS, Milvus, or pgvector, and practical knowledge of chunking, reranking, retrieval quality, and data-product design.
• Model providers and frameworks: Working familiarity with inference providers and model ecosystems such as AWS Bedrock, Azure OpenAI, OpenAI, Anthropic, Meta/Llama, and Mistral, along with orchestration frameworks such as LangChain, LlamaIndex, MCP, or comparable approaches.
• Cloud and infrastructure: Experience with cloud platforms such as AWS, Azure, or GCP; Docker, Kubernetes, Terraform, CI/CD, observability tools, and production support practices.
• HR domain awareness: Understanding of HR data, employee lifecycle processes, people analytics, skills and job architecture, talent and learning processes, case management, workforce planning, and the sensitivity of employee information.
• Governance mindset: Ability to design for privacy, PII protection, role-based access, auditability, human-in-the-loop review, regulatory considerations, works council approvals, and enterprise model/data governance.
• Consulting and communication: Strong business-problem framing, product-oriented thinking, stakeholder facilitation, clear communication, and the ability to explain AI options to HR leaders and subject-matter experts.
• Education: BS, MS, or PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Human Resources Technology, or equivalent professional experience.

Preferred Experience

• Experience developing AI solutions for HR, people analytics, talent, learning, recruiting, employee experience, HR service delivery, or workforce planning use cases.
• Familiarity with HR and enterprise AI platforms such as Sana AI, Workday, ServiceNow HRSD, SAP SuccessFactors, or Microsoft 365/Copilot ecosystems; platform-specific configuration experience is helpful but not required.
• Experience creating skills intelligence, workforce planning, automation-potential analysis, or organizational heat-map visualizations.
• Experience working with Legal, Privacy, Information Security, Works Councils, or equivalent governance bodies on employee-data solutions.

What Makes You Eligible

• Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
• Successfully complete a background investigation and drug screen as a condition of employment.

What We Offer

• Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more).
• Extensive training opportunities through our own HARMAN University.
• Competitive wellness benefits.
• Tuition reimbursement.
• "Be Brilliant" employee recognition and rewards program.
• An inclusive and diverse work environment that fosters and encourages professional and personal development.

#Hybrid

Pay Transparency

$ 125,250 - $ 183,700

Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission.

Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need. While the above range is a reasonable estimate of the wage range for this position, please note the disclosed range estimate has not been adjusted for the applicable geographical differential associated with the location where the position may be filled.

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)