Principal AI Engineer (m/f/d)
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What you'll do
- Collaborate with business, engineering, operations, and IT teams to define problem statements, gather requirements, and translate business needs into technical solution concepts.
- Actively contribute to the technical development and deployment of intelligent systems AI/ML projects in collaboration with cross-functional teams, ensuring alignment with business KPIs.
- Lead experimentation, validation, and continuous optimization to ensure solutions are robust, scalable, and deliver clear, measurable improvements to engineering and operational efficiency.
- Drive continuous improvement by integrating feedback loops and performance tuning into deployed AI systems.
- Champion best practices in machine learning development, including reproducibility, version control, model governance, and ethical AI principles.
- Stay up to date with the latest advancements in AI/ML and apply them to solve complex, real-world challenges in engineering and operations.
- Mentor and guide junior team members, fostering a culture of innovation, collaboration, and technical excellence.
What they're looking for
- Master’s degree in Computer Science or a related technical field.
- 7+ years of hands-on experience designing, building, and deploying production-grade ML and AI solutions, including end-to-end system integration.
- Proven experience delivering Generative AI solutions at scale, including deployment, and evaluation in real-world settings.
- Deep understanding of Large Language Model (LLM) architectures, prompting strategies, and inference optimization.
- 4+ years of experience implementing AI/ML workloads on public cloud platforms (AWS, Azure), with strong knowledge of key services for compute, storage, orchestration, and model deployment.
- Proficiency in Python with strong software engineering skills, including object-oriented programming, test-driven development (TDD), and clean code principles.
- Solid grasp of ML system design, including data pipelines, model lifecycle management, performance monitoring, and MLOps best practices.
- Ability to work across disciplines and lead technical conversations with data scientists, engineers, product managers, and operations teams.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.
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 everyday.
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
What You’ll Be Part Of
We are seeking a Principal AI Engineer with a strong background in building and deploying AI-driven solutions to join the Harman Automotive AI Lab. In this role, you will steer the design, development, and operationalization of machine learning systems aimed at enhancing engineering workflows and operational efficiency across Harman Automotive. As part of the AI Lab, you will collaborate with cross-functional teams to identify high-impact business problems, architect scalable AI solutions, and integrate them into enterprise systems to drive measurable improvements in productivity, cost, and performance.
How You’ll Make An Impact
Collaborate with business, engineering, operations, and IT teams to define problem statements, gather requirements, and translate business needs into technical solution concepts.
Actively contribute to the technical development and deployment of intelligent systems AI/ML projects in collaboration with cross-functional teams, ensuring alignment with business KPIs.
Lead experimentation, validation, and continuous optimization to ensure solutions are robust, scalable, and deliver clear, measurable improvements to engineering and operational efficiency.
Drive continuous improvement by integrating feedback loops and performance tuning into deployed AI systems.
Champion best practices in machine learning development, including reproducibility, version control, model governance, and ethical AI principles.
Stay up to date with the latest advancements in AI/ML and apply them to solve complex, real-world challenges in engineering and operations.
Mentor and guide junior team members, fostering a culture of innovation, collaboration, and technical excellence.
What Makes You A Strong Fit
Master’s degree in Computer Science or a related technical field.
7+ years of hands-on experience designing, building, and deploying production-grade ML and AI solutions, including end-to-end system integration.
Proven experience delivering Generative AI solutions at scale, including deployment, and evaluation in real-world settings.
Deep understanding of Large Language Model (LLM) architectures, prompting strategies, and inference optimization.
4+ years of experience implementing AI/ML workloads on public cloud platforms (AWS, Azure), with strong knowledge of key services for compute, storage, orchestration, and model deployment.
Proficiency in Python with strong software engineering skills, including object-oriented programming, test-driven development (TDD), and clean code principles.
Solid grasp of ML system design, including data pipelines, model lifecycle management, performance monitoring, and MLOps best practices.
Ability to work across disciplines and lead technical conversations with data scientists, engineers, product managers, and operations teams.
Things To Know
Willingness to travel up to 10%, domestic and international travel
What We Offer
A technically ambitious role at the intersection of AI agents, software-defined vehicles, personalization, and human-vehicle interaction.
A global, multi-disciplinary environment across AI, cloud, embedded systems, UX, product, and automotive engineering.
A hybrid work environment that balances flexibility with in-person collaboration, with most office-based roles onsite three days a week.
Access to employee discounts on HARMAN and Samsung products (including JBL, Harman / Kardon, AKG, and others)
Learning and development opportunities through our award-winning HARMAN University programs
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.
Company
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