Expert Product Architect – AI/ML

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $135.000 - $180.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🤖 Künstliche Intelligenz

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Ensono

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1001 - 5000 Mitarbeiter

Cloud Services • IT Services • Managed Services

Ensono ist ein erfahrener Technologieberater und Anbieter von Managed Services. Als unermüdlicher Verbündeter beschleunigen wir die digitale Transformation unserer Kunden, um nachhaltige Geschäftsergebnisse zu erreichen. Unser engagiertes Team hilft Organisationen, die heutigen Systeme in jeder hybriden Umgebung mit Dienstleistungen wie Beratung, Mainframe- und Anwendungsmodernisierung, Migration in die Public Cloud und cloud-native Entwicklung zu optimieren. Mit zertifizierten Experten in AWS, Azure und Google Cloud und anerkannt als Microsoft Datacenter Transformation Partner des Jahres beschäftigt Ensono weltweit über 2.900 Mitarbeiter und hat seinen Hauptsitz in der Metropolregion Chicago.

Beschreibung

• Ensono is building a new portfolio of Managed AI Services, and we need a Product Architect to design the technical foundation. This is a senior, hands-on role where you'll architect how our AI services are built, integrated, and delivered to enterprise clients. • You'll work at the intersection of cloud platforms, AI/ML technologies, and managed services operations—designing solutions that integrate third-party AI capabilities (Azure OpenAI, AWS Bedrock, etc.) into scalable, secure, enterprise-grade managed offerings. • This isn't about building AI models from scratch; it's about architecting the infrastructure, integrations, and operational frameworks that allow Ensono to deliver AI services reliably to clients. • This is not a client-facing role, but at times you'll engage with customers to understand their needs, translate those into technical architectures, and collaborate closely with Security, the CTO office, and Operations to ensure our services are production-ready.

🎯 Anforderungen

• 10+ years of experience in technical architecture, cloud engineering, or platform engineering roles • Managed services background: Deep understanding of how managed services are designed, delivered, and operated—you've built services that are run by operations teams, not just deployed and handed off. Previous experience at an MSP is a plus. • Cloud architecture expertise: Strong experience with Azure and/or AWS, including compute, networking, security, and managed AI services (Azure OpenAI, Azure ML, AWS Bedrock, SageMaker) • MLOps and AI infrastructure: Experience architecting ML pipelines, model serving infrastructure, and AI platform components • Observability and monitoring: Experience designing monitoring, alerting, and operational visibility solutions • Private/hybrid cloud: Experience with on-premises, hybrid, or private cloud architectures • Client-facing experience: Comfortable presenting to technical and executive audiences, translating complex topics into clear recommendations.

🏖️ Vorteile

• Unlimited Paid Days Off • Three health plan options • 401k with company match • Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts • Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement • Paid childbearing and paternal leave • Education Reimbursement, Student Loan Assistance or 529 College Funding • Sabbatical leave • Wellness program • Flexible work schedule