обновлено 9 дней назад
Platform Developer (P4) (AI)
125 250 - 183 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Developer (P4) (AI) (Cloud/MLOps): Building and operating enterprise AI platform services, APIs, integrations, and deployment automation with an accent on cloud-native platforms, MLOps/LLMOps, security, and governance. Focus on designing scalable platform capabilities, deploying and monitoring AI workloads, and solving production reliability, observability, and performance challenges.
Location: Hybrid in the Novi, Michigan office at least 3 days per week; travel up to 20% may be required. The role is associated with Novi, Michigan, USA and Sunnyvale, California, USA.
Salary: $125,250–$183,700 per year, with other compensation potentially available depending on the position.
Company
develops connected automotive, lifestyle, and digital transformation technologies across a portfolio of global brands.
What you will do
- Develop, deploy, maintain, and evolve enterprise AI platform components, services, APIs, and integrations.
- Implement reusable platform capabilities based on enterprise architecture standards and reference designs.
- Build CI/CD pipelines, automation frameworks, infrastructure-as-code, and deployment processes for AI workloads.
- Implement MLOps and LLMOps processes for model deployment, monitoring, versioning, lifecycle management, and governance.
- Monitor platform health, troubleshoot production issues, and optimize reliability, scalability, observability, and performance.
- Collaborate with architects, product owners, data engineers, security teams, and application developers on governance, access management, compliance, documentation, and technical standards.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, plus 6+ years of relevant experience.
- Strong experience developing and operating cloud-native platforms using Microsoft Azure, AWS, or comparable 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 AI and data platform architectures.
- Willingness to work hybrid from the Novi, Michigan office at least 3 days per week and travel 20% of the time.
Nice to have
- Experience with enterprise AI platforms, agent-based systems, retrieval-augmented generation, 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.
Culture & Benefits
- Paid vacation, holidays, sick leave, volunteer leave, and paid bonding and caregiver leave may be available.
- Medical, dental, and vision plans, fertility support, adoption assistance, HSA and FSA accounts, retirement savings with employer match, disability coverage, and life insurance may be available.
- Access to employee discounts on products and wellness benefits.
- Training through University, tuition reimbursement, and employee recognition programs.
- Inclusive work environment supporting professional and personal development.
Hiring process
- Employment offers are conditional on successfully completing a background investigation and drug screen.
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