Presales Solution Architect Teleworker, California (Berkeley)

Hewlett Packard Enterprise in Berkeley, CA

  • Type: Full Time
position filled

As a Sr. Solutions Architect at HPE Analytics Data Solutions, you will have the opportunity to help shape and deliver on a strategy to build broad use of AI / ML applications (e.g., TensorFlow, Keras, PyTorch, and JupytrHub) directly with customers, system integrators and solution providers. Your responsibilities will include: owning the technical engagement and ultimate success around pre and post sales implementation projects; defining use case architectures; responding to RFPs; maintaining a deep expertise in the AI / ML / DL ecosystem; maintaining broad knowledge around application life-cycle and micro service construction using the various platforms; being a subject matter expert on networking and security as it relates to customer applications and services; and maintaining expertise in distributed storage and compute architectures.

As a Sr. Solutions Architect, you will provide technical design and thought leadership to all markets for AI / ML workloads working with a first class sales team. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture. The ideal candidate will have experience working with industry best practices for security; standards and compliance for designing large scale big data, artificial intelligence, machine learning, deep learning systems; and be experienced in cloud computing solutions.

We are looking for someone who is passionate about the following :

  • Creating, building, educating, training and designing AI / ML architectures for customers in any market.
  • Deep-dive technical discussions around design and an intellectual curiosity to always keep your technical skills current while maintaining a pulse on industry trends.
  • With experience in the following key areas:

  • Executive Speaking and Presentation Skills White board, small and large group presentations
  • Technical Understanding of Docker, Kubernetes, Deploying deep learning frame works, AWS, Google Cloud, Azure and Distributed Storage / Compute Frameworks
  • Operational Linux, management, and security
  • Economic and business RFP/Acquisition support; Technical architecture; understanding market trends; cost benefit analysis
  • Advisory/Consulting experience with Development, IT, and Lines of Business


  • BASIC QUALIFICATI ONS

  • 7+ years technical software sales experience, design architecture and/or implementation experience
  • 4+ years of experience design/implementation/consultingexperience with distributed applications (Hadoop, Spark, Kafka, TensorFlow) to include infrastructure architecture, database architecture and networking
    Bachelors degree in computer science, math or related field
  • Intermediate/advancedknowledge of the AI / ML ecosystem services, market segments, customer base and industry verticals
  • PREFERRED QUALIFICATIONS

  • Strong verbal and written communications skills and the ability to work effectively across internal and external organizations
    Demonstrated experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
    Hands on experience with deploying complex AI / ML frameworks using Docker, Kubernetes
  • Working knowledge of software development tools and methodologies
  • Experiencearchitecting/operatingsolutions related to big data / AI / ML on-premises or in the cloud (AWS, GCP, Azure)
  • Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
  • Excellent communication skills with an ability to right level conversations
  • Demonstrated ability to adapt to new technologies and learn quickly
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Familiarity with common enterprise services (Hadoop, Apache tools, Docker, Networking, etc....), products (Cloudera, MapR, DataBricks, TensorFlow, etc)
  • Have a passion for educating, training, designing, and building technical solutions for a diverse and challenging set of enterprise customers.
  • Have a strong understanding of large scale analytic solutions (Hadoop, Spark, Kafka, TensorFlow, JupyterHub, Docker). The ideal candidate will have past experience working as a systems or support engineer, and have pre-sales experience. The candidate will continue to keep their existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on HPE Software like MapR and BlueData.
  • Roles and Responsibilities:

  • In partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives
  • As a key member of the business development and sales team, ensure success in building and migrating applications, software and services onto HPE BlueData and MapR
  • Educate customers of all sizes on the value proposition of HPE MapR and BlueData, and participate in deep architectural discussions
  • Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering HPE BlueData and MapR, to help drive new business or renewals
  • Author / contribute to technical community / customer-facing publications such as whitepapers, blogs, webinars, etc
  • Build deep relationships with senior technical individuals within customers to become the leading trusted advisor in the analytics space
  • Act as a technical liaison between customers, service engineering teams and support
  • Open to travel up to 25%
  • We offer:

  • A competitive salary and extensive social benefits
  • Diverse and dynamic work environment
  • Work-life balance and support for career development
  • An amazing life inside the element!
  • Want to know more about it?


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