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AI Solution Engineer (Determined AI)

Remote: 
Full Remote
Contract: 
Salary: 
131 - 300K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Texas (USA), United States

Offer summary

Qualifications:

Bachelor's, Master's or Advanced degree in Engineering, Computer Science., 4 years+ experience with Machine Learning or Deep Learning., Competency in Kubernetes and LLM frameworks., Experience coding in Python and ML scripting..

Key responsabilities:

  • Lead technical discussions with prospects.
  • Demo AI solutions addressing customer use cases.
  • Conduct Proof-of-Concepts for HPE prospects.
  • Support customers with product or technical issues.
Hewlett Packard Enterprise logo
Hewlett Packard Enterprise XLarge http://hpe.com
10001 Employees
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Job description

AI Solution Engineer (Determined AI)

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

As an AI Solution Engineer your role will be to architect, build, and deliver AI solutions in the form of demos and proof-of-concepts for customers during the pre-sales stage of customer engagements. These solutions will include a combination of hardware, software and services that aim to deliver an AI outcome in pursuit of a sales opportunity. Given the broad range of options available for each level of the solution stack, you will be expected to have an understanding of the most popular options and capabilities to make the appropriate recommendations based on prospects' use cases and expected outcomes. You will be working closely with HPE Sales, Architects, and Partners to solution and implement proof-of-concepts that can not only be used as prototypes during pre-sales but also expandable to production deployments post-sales.  This is a US based teleworker position working within the Central Time Zone. 

                                                                                                                                   

In a typical day as an AI Solution Engineer, your responsibilities would include:

  • Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI.
  • Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes.
  • Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings, likely in combination with 3rd Party and Open Source components.
  • Assist in any product or technical issue towards an initial sale or renewal of a customer.
  • Help enable prospects, partners, and internal HPE teams on HPE's value in the AI landscape and how HPE and partner solutions can help solve real world business problems.

Your profile:

  • Bachelor's, Master's or other Advanced degree in Engineering, Computer Science, or similar quantitative focus.
  • 4 years + experience working with Machine Learning or Deep Learning.
  • Experience working with Kubernetes.
  • Competency working with the latest LLM frameworks, both Open Source (e.g. LangChain, LllamaIndex) and proprietary (e.g. NVIDIA NeMo/NIM).
  • Competency writing ML code (for example, using PyTorch).
  • Experience with Python, Unix-like systems.
  • Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
  • Understanding of hardware requirements associated with deep learning model training or inference, and how model attributes and performance factors affect it.
  • Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities.
  • Experience working with on-premise hardware / GPU clusters.
  • Strong communicator, presenter and technologist evangelist.
  • Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI.

#LI-Remote #DeterminedAI

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Business Development, Business Growth, Business Planning, Coaching, Commercial Acumen, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Customer Relationship Management (CRM), Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive) {+ 8 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

Job:

Services

Job Level:

Master

    

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Annual Salary: $130,500.00 - $300,000.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. .

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Creativity
  • Problem Solving
  • Communication
  • Teamwork
  • Empathy

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