Senior Engineer, AI

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

As a Senior AI Engineer, you will help drive internal enterprise transformation through the design, development, and deployment of AI and Generative AI solutions that improve business processes and deliver measurable value across enterprise business applications and functions. This role is focused on building practical, production-ready capabilities that increase productivity, streamline workflows, and enable better decision-making across domains such as engineering, software, HR, legal, procurement, costing, and related business functions.

You will work hands-on across the full solution lifecycle-from problem definition and prototyping to evaluation, deployment, and ongoing optimization-while contributing to enterprise data and AI initiatives that leverage Microsoft Fabric, the broader Microsoft ecosystem, and other modern cloud and data platforms. The primary focus remains on Generative AI, LLMs, agentic workflows, retrieval-augmented generation (RAG), and enterprise copilots, with an emphasis on responsible AI, governance, and scalable adoption.

What You Will Do

* Design, build, and deploy AI and Generative AI solutions that automate internal workflows and improve productivity across enterprise business applications and functions.

* Deliver production-ready internal copilots, assistants, and workflow accelerators for use cases such as knowledge search, document summarization, conversational analytics, intelligent recommendations, and process automation.

* Partner with stakeholders across engineering, software, HR, legal, procurement, costing, and similar functions to identify high-value opportunities and translate business needs into scalable AI solutions.

* Build and support enterprise GenAI solutions using large language models, prompt engineering, agentic workflows, and RAG patterns over structured and unstructured enterprise data.

* Contribute to enterprise data and AI initiatives using Microsoft Fabric and the broader Microsoft ecosystem, including Azure, Azure OpenAI, Power Platform, Copilot Studio, Microsoft 365, and other related platforms, while also working with complementary technologies already present in the environment.

* Architect and develop scalable data and AI pipelines that support retrieval, orchestration, evaluation, monitoring, and secure access to enterprise information.

* Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements documents, business rules, lessons learned, operational content, knowledge bases, and other unstructured sources.

* Select and apply effective chunking, embedding, vector search, reranking, and routing approaches to improve retrieval quality and user outcomes.

* Develop agentic and tool-using workflows using frameworks such as Lang Chain, Llama Index, MCP, and related orchestration patterns.

* Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using structured testing, human feedback, and measurable business outcomes.

* Implement responsible AI practices including guardrails, content filtering, access controls, auditability, and governance aligned to enterprise standards.

* Contribute to production readiness through observability, monitoring, cost awareness, performance tuning, and reliable…