Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 74 days ago

Principal Engineer - Supply Chain AI Solutions

HARMAN73 open roles

Pay
$125,250 – $183,700 a year
Where
Novi - Michigan, USA - Cabot Drive
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Engineer - Supply Chain AI SolutionsHARMAN · Novi - Michigan, USA - Cabot Drive

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on HARMAN's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. HARMAN postings stay open a median of 5 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted 74 days ago

HARMAN median: 5 days open

The posting

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
  • 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 that streamline supply chain workflows and deliver measurable business value through hours saved, cycle-time reduction, improved decision quality, risk mitigation, and the breadth of users served. You will architect, develop, and maintain production-grade systems encompassing RAG pipelines, agentic tools, model routing, vector search, evaluation and guardrails, and observability, all tightly integrated with internal platforms, enterprise datasets, and supply chain systems. This is primarily a hands-on GenAI and software engineering role, with supply chain expertise providing the domain context for solution design and delivery.

What You Will Do

  • Automate high-impact supply chain workflows for internal stakeholders, prioritizing initiatives with the greatest time savings, business impact, and user reach.
  • Deliver production-ready copilots and applications for knowledge search, document summarization, intelligent recommendations, conversational analytics, exception management, and end-to-end workflow automation.
  • Apply GenAI and software engineering to supply chain use cases across procurement; supplier collaboration and management; risk management; quality; costing; engineering; materials and warehouse management; finished-goods and component-level planning; and ESG.
  • Architect and develop scalable, high-performance data and AI systems that support RAG, agentic workflows, secure tool use, and model orchestration.
  • Own the complete solution lifecycle, from problem definition and rapid prototyping through rigorous evaluation, production deployment, ongoing monitoring, and continuous improvement.
  • Design and implement RAG pipelines over heterogeneous and often messy enterprise and supply chain data, including contracts, purchase orders, supplier documents, bills of material, requirements, quality records, audit artifacts, planning data, business rules, and unstructured content. Select embedding strategies, chunking approaches, vector search configurations, rerankers, metadata or knowledge-graph enrichment techniques, and routing policies to maximize retrieval quality.
  • Develop agentic workflows leveraging LangChain, LlamaIndex, Model Context Protocol (MCP), and agent-to-agent (A2A) protocols; build secure tools that allow agents to retrieve data and execute approved actions in enterprise systems.
  • Integrate AI solutions with enterprise applications and data platforms through APIs, events, batch pipelines, and governed access patterns; design integrations that are resilient, observable, and maintainable.
  • Evaluate when to use platform-native embedded AI capabilities versus custom-built GenAI components, and design modular solutions that can evolve with the enterprise tool landscape.
  • Translate subject-matter-expert knowledge into robust prompts, tools, workflow logic, and validation rules; evaluate trade-offs among prompt engineering, retrieval augmentation, fine-tuning, and deterministic software.
  • Work hands-on with large language models, vector databases such as Pinecone and FAISS, and agent memory systems.
  • Establish operational excellence through rigorous SLAs; safety and guardrail mechanisms; prompt and version management; transparent evaluation; latency and throughput optimization; cost controls; load balancing; fallback or model-routing strategies; and human review for process-critical decisions.
  • Establish observability using tools such as Datadog, Grafana, and LangFuse, along with model and data governance, access controls, auditability, and operational support appropriate for internal enterprise environments.
  • Build and maintain data products, lakes, and warehouses using platforms such as Snowflake, Delta Lake, BigQuery, and Microsoft Fabric to support supply chain AI use cases.
  • Build internal copilots and customer-facing features using React, Node.js, and Python with REST or GraphQL backends; containerize applications with Docker, orchestrate with Kubernetes, automate CI/CD pipelines, and manage infrastructure as code using tools such as Terraform.
  • Collaborate closely with supply chain subject-matter experts, requirements, testing, validation, cybersecurity, data, platform, and enterprise application teams; communicate proactively and iterate rapidly in a fast-paced environment.

What You Need To Be Successful

  • 8+ years of experience building production software, ideally including ML systems and hands-on work with LLMs and Generative AI; demonstrated technical leadership while remaining deeply hands-on.
  • Programming: Python (FastAPI, NumPy, Pandas, scikit-learn, Pydantic, Jinja2) and Node.js; strong proficiency with APIs and distributed systems.
  • LLMs and Frameworks: Hands-on experience with at least one major deep learning or LLM stack, such as PyTorch/Transformers or TensorFlow/Keras, and orchestration frameworks such as LangChain or LlamaIndex.
  • Model Providers: Working familiarity connecting to inference providers and model ecosystems such as AWS Bedrock, OpenAI, Anthropic, Meta/Llama, and Mistral.
  • Data and Storage: SQL and NoSQL databases (PostgreSQL, DynamoDB), Elasticsearch for search and analytics, and vector databases (Pinecone, Weaviate, FAISS, Milvus, pgvector).
  • Cloud and Infrastructure: AWS (S3, EC2, Lambda, CloudWatch, Fargate, EKS/ECS), Azure, GCP, Databricks, Docker, Kubernetes, Terraform, CI/CD, Airflow, and Kafka.
  • Enterprise Integration: Demonstrated experience integrating production software or AI systems with one or more enterprise platforms using APIs, event-driven interfaces, batch or data pipelines, authentication and authorization, and robust error-handling patterns.
  • Operational Excellence: Load balancing, monitoring and alerting (Datadog, Grafana, LangFuse), debugging production issues, evaluation and release discipline, and cost and performance optimization.
  • Preferred Platform Experience - Strong Plus: Experience with one or more of SAP, SAP S/4HANA, SAP Ariba, enterprise resource planning (ERP) platforms, Ivalua, OneStream, Darwin Analytics, SupplyOn, or SAP Integrated Business Planning (IBP). Experience using or extending platform-native AI capabilities is valuable; breadth across every platform is not required.
  • Preferred Supply Chain Domain Experience - Strong Plus: Delivery experience in one or more of procurement, supplier collaboration and management, risk management, quality, costing, engineering, materials and warehouse management, finished-goods or component-level planning, and ESG. Familiarity with automotive supply chain and compliance concepts such as Extended Producer Responsibility (EPR), Process Release Audit (PRA), and Production Part Approval Process (PPAP) is an additional advantage.
  • Soft Skills: Strong communication abilities, product-oriented thinking, effective collaboration with technical and functional subject-matter experts, and the capacity to learn and adapt quickly in a dynamic environment.
  • Education: BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent professional experience.

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

#LI-AA1

Salary Ranges:

$ 125,250 - $ 183,700

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against HARMAN's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on HARMAN's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    HARMAN's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.