# AI Data Platform Field Architect

**Company**: Hewlett Packard Enterprise
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: Annual Salary USD 153,500 - 298,500 in Colorado // 146,000 - 343,000 in Arizona & Nevada & New Jersey & Texas
**Category**: Sales
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/All-Arizona-United-States-of-America/AI-Data-Platform-Field-Architect_1209863-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2a6f872e-756

## Description

We are seeking a highly strategic and technically grounded AI Data Platform Field CTO to help drive the next phase of growth for our X10K AI data platform business.

This is a customer-facing architect role that leads with a data-first perspective, focusing on how data is created, moved, enriched, and consumed across AI pipelines, using infrastructure as an enabler rather than the starting point.

**Key Responsibilities**

- Data-Centric AI Architecture:

- Lead architecture discussions starting from data characteristics and lifecycle

- Design AI solutions by optimizing data access patterns, AI pipelines for data movement efficiency, and metadata, indexing, and retrieval efficiency

- Evaluate how data design decisions impact model performance and accuracy, latency, GPU utilization, ingest requirements, and cost efficiency

- Customer Engagement & Deal Leadership:

- Lead technical discovery sessions with enterprise customers to identify, shape, and qualify AI Factory opportunities

- Translate business objectives into scalable AI architectures and solution designs

- Serve as a trusted advisor to CTOs, Heads of AI, and Data Engineering leaders

- AI Solution Architecture & Sizing:

- Scope and size AI Factory environments based on GPU counts and configurations, data volumes and throughput requirements, and model types and workloads

- Define performance expectations across the full AI pipeline

- Provide guidance on optimizing time-to-first-token (TTFT), throughput, and cost efficiency

- Data & Storage Integration (X10K Focus):

- Articulate the role of modern data platforms in AI workflows

- Position data platforms as a strategic enabler of AI performance

- Align solution positioning to customer-specific data scale, access patterns, and performance needs

- Cross-Functional Leadership:

- Partner closely with Product Management to influence roadmap priorities and provide structured field feedback

- Create and present high-impact technical content to influence customers, partners, and internal stakeholders

**Required Qualifications**

- 8+ years of experience in a technical presales, solutions architecture, or field CTO role

- Strong understanding of AI/ML workflows, including Retrieval-Augmented Generation (RAG), model inference and deployment

- Demonstrated ability to lead architecture from data requirements and access patterns rather than infrastructure-first design approaches

- Proven experience working with Product Management and solution teams to define, develop, and extend AI Factory offerings

- Experience sizing and designing GPU-based environments for AI workloads

- Solid understanding of data architecture concepts, including data pipelines, data lakes, and object storage

**What Success Looks Like**

- Consistently shaping and qualifying high-value AI Factory opportunities

- Positioning solutions with precision,winning in the right opportunities for the right reasons

- Enabling field teams to confidently position and sell AI solutions at scale

- Driving measurable improvements in deal velocity, win rates, and pipeline growth

- Influencing product direction based on real-world customer needs

- Establishing a repeatable, scalable approach to AI Factory solution design

## Skills

### Required
- AI/ML workflows
- data architecture
- solutions architecture
- GPU-based environments
- data pipelines
- object storage

### Nice to have
- high-performance computing (HPC) concepts
- distributed compute environments
- AI/ML frameworks and ecosystems
- cloud and hybrid AI infrastructure
- storage technologies

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/All-Arizona-United-States-of-America/AI-Data-Platform-Field-Architect_1209863-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)