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HA
HARMAN

Principal Engineer - HR AI Solutions

Salary$125k – $184k
LocationNovi - Michigan, USA - Cabot Drive
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
Company size10,000+ people
PostedJul 27, 2026 · 2mo ago
Verified live8h ago
At a glanceSummarised by Seekless from the posting.
Must have12
8+ years of experience building production software or data products, including hands-on experience with ML, LLMs, Generative AI, or AI-enabled workflow automation
Strong conceptual and practical understanding of LLMs, embeddings, RAG, agentic workflows, prompt engineering, model orchestration, model evaluation, guardrails, and responsible AI practices
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
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
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
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
Experience with cloud platforms such as AWS, Azure, or GCP; Docker, Kubernetes, Terraform, CI/CD, observability tools, and production support practices
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
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
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
BS, MS, or PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Human Resources Technology, or equivalent professional experience
Nice to have4
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
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
Eligibility2
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
Skills
Python
FastAPI
NumPy
Pandas
scikit-learn
Pydantic
Jinja2
Node.js
TypeScript
React
REST
GraphQL
SQL
NoSQL
Pinecone
Weaviate
FAISS
Milvus
pgvector
AWS Bedrock
Azure OpenAI
OpenAI
Anthropic
LangChain
LlamaIndex
MCP
AWS
Azure
GCP
Docker
Kubernetes
Terraform
CI/CD
Workday
ServiceNow
Microsoft
Sana AI
SAP SuccessFactors
Microsoft 365
Benefits
Employee discounts
Training opportunities
Wellness benefits
Tuition reimbursement
Employee recognition program
A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
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
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Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
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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.
What You Will Do
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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
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Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more).
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Extensive training opportunities through our own HARMAN University.
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Competitive wellness benefits.
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Tuition reimbursement.
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“Be Brilliant” employee recognition and rewards program.
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An inclusive and diverse work environment that fosters and encourages professional and personal development.
#Hybrid
Salary Ranges:
$ 125,250 - $ 183,700
Legal
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. 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.
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