AI Platform Developer (m/f/d)
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What you'll do
- Implement and support MLOps and LLMOps processes, including model deployment, monitoring, versioning, lifecycle management, and operational governance
- Ensure platform solutions meet enterprise requirements for security, scalability, reliability, observability, and performance
- Collaborate with data, security, and architecture teams to implement governance controls, access management, and compliance requirements
- Monitor platform health, troubleshoot production issues, optimize performance, and drive continuous operational improvements
- Contribute to platform documentation, technical standards, reusable assets, and engineering best practices
- Evaluate emerging technologies and recommend enhancements that improve platform capabilities and developer experience
- Develop, deploy, and maintain enterprise AI platform components, services, APIs, and integrations that support AI applications and agent-based solutions
- Execute platform architecture designs and implement reusable platform capabilities aligned with enterprise standards and reference architectures
- Build and maintain CI/CD pipelines, automation frameworks, and deployment processes supporting AI workloads and platform services
- Perform testing, validation, and operational readiness assessments for platform modules, services, and integrations
What they're looking for
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
- 6+ years of experience in platform engineering, cloud engineering, software engineering, or related disciplines
- Strong experience developing and operating cloud-native platforms using Microsoft Azure, AWS, or similar enterprise cloud environments
- Hands-on experience with MLOps, LLMOps, CI/CD automation, infrastructure-as-code, containerization, and production deployment practices
- Strong understanding of platform security, identity and access management, observability, monitoring, and security-by-design principles
- Knowledge of data governance, enterprise integration patterns, APIs, and scalable platform architectures supporting AI and data-driven solutions
Nice to have
- Experience supporting enterprise AI platforms, agent-based systems, retrieval-augmented generation (RAG), or generative AI workloads
- Certifications in Azure, AWS, Kubernetes, DevOps, Security, or related cloud technologies
- Experience with vector databases, AI orchestration frameworks, model serving platforms, and modern AI development ecosystems
- Experience working in large, global organizations with distributed engineering and operations teams
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 Corporate
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Corporate, you are integral to our company’s award-winning success.
Enrich your managerial and organizational talents – from finance, quality, and supply chain to human resources, IT, sales, and strategy
Augment your comprehensive skillset with expert training across decision-making, change management, leadership, and business development
Obtain 360-degree support throughout your career life cycle, from early-stage to seasoned leader
What You’ll Be Part Of
As a Platform Developer, you will serve as a senior individual contributor responsible for developing, maintaining, and evolving HARMAN’s enterprise AI platform capabilities. You will build and support platform services, frameworks, and integrations that enable the scalable deployment of AI applications, agents, and workflows across the organization. This role requires strong expertise in cloud platforms, platform engineering, security, and production AI operations to ensure platform reliability, scalability, and governance. You will work closely with architects, product owners, and engineering teams to deliver robust platform capabilities that accelerate enterprise AI adoption.
Your Team
You will be a senior individual contributor collaborating with AI architects, platform engineers, product owners, security teams, data engineers, and application developers to build, operate, and continuously improve HARMAN’s enterprise AI platform ecosystem.
How You’ll Make An Impact
Implement and support MLOps and LLMOps processes, including model deployment, monitoring, versioning, lifecycle management, and operational governance.
Ensure platform solutions meet enterprise requirements for security, scalability, reliability, observability, and performance.
Collaborate with data, security, and architecture teams to implement governance controls, access management, and compliance requirements.
Monitor platform health, troubleshoot production issues, optimize performance, and drive continuous operational improvements.
Contribute to platform documentation, technical standards, reusable assets, and engineering best practices.
Evaluate emerging technologies and recommend enhancements that improve platform capabilities and developer experience.
Develop, deploy, and maintain enterprise AI platform components, services, APIs, and integrations that support AI applications and agent-based solutions.
Execute platform architecture designs and implement reusable platform capabilities aligned with enterprise standards and reference architectures.
Build and maintain CI/CD pipelines, automation frameworks, and deployment processes supporting AI workloads and platform services.
Perform testing, validation, and operational readiness assessments for platform modules, services, and integrations.
What Makes You A Strong Fit
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, with 6+ years of experience in platform engineering, cloud engineering, software engineering, or related disciplines.
Strong experience developing and operating cloud-native platforms using Microsoft Azure, AWS, or similar enterprise cloud environments.
Hands-on experience with MLOps, LLMOps, CI/CD automation, infrastructure-as-code, containerization, and production deployment practices.
Strong understanding of platform security, identity and access management, observability, monitoring, and security-by-design principles.
Knowledge of data governance, enterprise integration patterns, APIs, and scalable platform architectures supporting AI and data-driven solutions.
Bonus Points if You Have
Experience supporting enterprise AI platforms, agent-based systems, retrieval-augmented generation (RAG), or generative AI workloads.
Certifications in Azure, AWS, Kubernetes, DevOps, Security, or related cloud technologies.
Experience with vector databases, AI orchestration frameworks, model serving platforms, and modern AI development ecosystems.
Experience working in large, global organizations with distributed engineering and operations teams.
Things To Know
Be willing to travel up to 25%, domestic only OR domestic and international travel.
What You Can Expect
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 world-class HARMAN and Samsung products (JBL, Harman Kardon, AKG and others).
Learning and development opportunities through our award-winning HARMAN University programs
An inclusive and diverse work environment that fosters and encourages professional and personal development
Work on best-in-class emerging technologies and an atmosphere that motivates you to give your best.
#LI-Hybrid
#LI-AJ1
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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