
AI Data Platform Field Architect
Juniper NetworksJob Description
Juniper Networks seeks an AI Data Platform Field Architect to lead customer-facing data platform design, integration, and optimization for AI workloads. This role empowers partners and clients to unlock scalable, secure, and high-performance data foundations that accelerate AI innovation while aligning with Juniper’s strategic technology roadmap. The ideal candidate will blend deep technical expertise with collaborative storytelling, enabling effective architecting across diverse environments and industries.
Responsibilities
- Architect AI data platform solutions for customer environments, translating business goals into scalable data architectures and reusable patterns.
- Define reference architectures, data models, and integration strategies that enable reliable AI model training, inference, and governance.
- Collaborate with customers to capture requirements, map data flows, and establish target state architectures aligned to security and compliance.
- Lead technical workshops and design reviews, articulating tradeoffs and guiding decisions to accelerate project momentum.
- Configure and optimize data pipelines, storage, and compute resources for AI workloads across on-premises and cloud environments.
- Evaluate vendor tools, platforms, and services to select the best-fit technologies for customer use cases.
- Provide hands-on guidance during implementation, including debugging, tuning, and performance optimization tasks.
- Develop and maintain architectural artifacts, including diagrams, runbooks, and reference patterns, to support repeatable delivery.
- Mentor field engineers and partners on data platform design principles, best practices, and scalable deployment methodologies.
- Collaborate with product and engineering teams to influence roadmaps based on field experiences and customer feedback.
- Ensure data quality, lineage, and governance requirements are upheld across all project phases.
- Advise on security, privacy, and compliance considerations related to data processing and AI workloads.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
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Master's Degree In Computer Science Or Related Field
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10+ Years In Data Platform Design And Implementation For Ai Workloads
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Proven Experience Delivering Enterprise-Grade Data Platforms And Ai Infrastructure
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Cloud Experience With Multiple Providers And Hybrid Architectures
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Strong Programming And Debugging Skills In Python And Sql
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Knowledge Of Data Security, Governance, And Privacy Frameworks
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Experience With Data Catalogs, Metadata Management, And Lineage Tools
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Excellent Collaboration And Stakeholder Management Across Technical And Business Teams
Required Skills
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Data Modeling
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Distributed systems
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ETL pipelines
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Data governance
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Cloud architecture
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Platform Automation
Soft Skills
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Problem Solving
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Strategic thinking
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Communication Skills
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stakeholder management
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Cross Functional Collaboration
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Customer Empathy
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Adaptable Mindset
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Team Enablement
Compensation
According to JobzMall, the average salary range for a AI Data Platform Field Architect is $140,000 to $260,000 per year. This can vary depending on experience, industry sector, and scope of technical and customer-facing responsibilities.
Additional Information
Juniper Networks is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
About Juniper Networks
Juniper Networks, Inc. is an American multinational corporation headquartered in Sunnyvale, California. The company develops and markets networking products, including routers, switches, network management software, network security products, and software-defined networking technology.
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