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 youll 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

Were a global multi-disciplinary team thats 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 lifecyclefrom problem definition and prototyping to evaluation deployment and ongoing optimizationwhile 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 LangChain LlamaIndex 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 deployment practices.
• Build solutions and integrations using modern application stacks such as Python APIs and web frameworks with the ability to collaborate across platform data and application teams.
• Work closely with business platform testing validation and delivery teams in a fast-paced environment with strong communication rapid iteration and a process-excellence mindset.

What You Need To Be Successful

• 6 years of experience building production software data or AI solutions including hands-on experience with machine learning systems and/or Generative AI applications.
• Strong hands-on experience with Python and modern software engineering practices; working knowledge of and service-oriented application development is a plus.
• Experience building GenAI and LLM-powered applications including prompt engineering RAG evaluation and agentic workflows.
• Familiarity with frameworks and tooling such as LangChain LlamaIndex Transformers PyTorch TensorFlow or similar ecosystems.
• Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI OpenAI Anthropic AWS Bedrock Meta/Llama Mistral or similar services.
• Experience with enterprise data platforms and storage technologies including SQL and NoSQL databases search technologies vector databases and modern lakehouse or warehouse platforms.
• Working knowledge of Microsoft Fabric and the broader Microsoft ecosystem including Azure services Power Platform Copilot Studio Microsoft 365 integrations and enterprise data environments.
• Familiarity with cloud and data engineering concepts across Azure AWS GCP Databricks Docker Kubernetes CI/CD orchestration and modern data pipelines.
• Ability to work across structured and unstructured enterprise data to support AI use cases in internal business environments.
• Understanding of operational excellence for AI systems including monitoring debugging performance optimization governance security and responsible AI practices.
• Strong communication skills product mindset stakeholder collaboration and the ability to operate effectively in cross-functional enterprise transformation initiatives.
• BS MS or PhD in Computer Science Electrical Engineering Mathematics Data Science or equivalent professional experience.

What Makes You Eligible

• Be willing to work in an office located in Novi MI (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

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace 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.