2 months ago
Remote, Finland or Helsinki, FinlandSenior
Base Salary
$146k - $343k/yr
Responsibilities
- Lead data-centric AI architecture discussions covering data characteristics, lifecycle, access patterns, locality, movement, metadata, indexing, and retrieval.
- Design and optimize AI pipelines across ingestion, storage, retrieval, compute, and model layers for performance, reliability, trustworthiness, latency, and cost efficiency.
- Lead customer discovery sessions, qualify AI Factory opportunities, translate business objectives into technical solutions, and advise technical and executive stakeholders.
- Scope and size GPU-based AI Factory environments based on GPU configurations, data volumes, throughput, model types, and workloads.
- Position X10K data platforms, object storage, data pipelines, vector databases, and AI frameworks within customer-specific AI architectures.
- Partner with Product Management and solution teams to influence roadmap priorities, provide field feedback, and develop reference architectures, design patterns, whitepapers, conference talks, and other technical content.
Requirements
- 8+ years of experience in technical presales, solutions architecture, or field CTO roles.
- Strong understanding of AI/ML workflows including Retrieval-Augmented Generation, model inference, and deployment; model training pipeline experience is nice to have.
- Experience leading architecture from data requirements and access patterns, and optimizing data flow across ingestion, retrieval, model interaction, and feedback loops.
- Experience defining, developing, or extending AI Factory offerings and influencing product direction and roadmap priorities.
- Experience sizing and designing GPU-based environments for AI workloads and working with AI/ML or data engineering teams.
- Strong understanding of data pipelines, data lakes, object storage, and large-scale data access performance considerations.
- Ability to match architectures to workload requirements and scale while evaluating performance, cost, complexity, and solution fit.
- Proven ability to lead customer discovery and translate requirements into technical solutions for technical and executive audiences.
- Preferred experience includes high-performance computing or distributed compute environments, AI/ML frameworks and ecosystems, cloud and hybrid AI infrastructure, storage technologies, and Product Management collaboration.
Benefits
- Remote/Teleworker arrangement with primary work from home.
- Comprehensive health, financial, and emotional wellbeing benefits for employees and their loved ones.
- Personal and professional development programs supporting career growth and opportunities across divisions.
- Inclusive workplace culture that values varied backgrounds and provides flexibility to manage work and personal needs.
Tech Stack
PyTorchTensorFlow
Categories
Solutions Engineering
About HPE
Hewlett Packard Enterprise (HPE) builds enterprise IT infrastructure and services, including servers, storage, networking (Aruba), and hybrid edge-to-cloud platforms like HPE GreenLake for businesses and public-sector organizations. Formed in 2015 after Hewlett-Packard’s split, HPE is headquartered in Houston, Texas and trades on the NYSE. It sells hardware, software, and subscription-based managed cloud services to help customers run workloads across data centers, colocation, and public clouds.