AI Solution Engineer

Hewlett Packard Enterprise • Frisco, TX

7d • Remote

About The Position

AI Solution Engineer 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 varied 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: Please note: this role can be hired from any US location. 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. 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. Additional Skills: Accountability, Accountability, Action Planning, Active Learning, 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. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied 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 #globalIT Job: Services Job Level: Master "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 153,500 - 310,500 in California & New York // 135,000 - 310,500 in Maryland & North Carolina & Oregon & Texas & Washington The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global 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 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. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication. Hewlett Packard Enterprise Technology innovation that fosters business transformation. We Are In the Acceleration Business We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed. COVID Policy The health and safety of our team members, customers and partners is paramount at HPE. Accordingly, if applicable to the role you applied to, you must be fully vaccinated against COVID-19 by the employment start date where permitted by law. Exemptions based on medical, religious or other grounds will be processed and approved in accordance with local laws. Standards of Business Conduct (SBC) The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors. Read more about how we win the right way. Equal Opportunity Employer (EEO) Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. Please click here: Equal Employment Opportunity. If you’d like more information about your EEO right as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only) HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information click here. You can also download the posters with information on legal rights and protection by clicking here and here. Accessibility Hewlett Packard Enterprise is committed to working with and providing reasonable accommodation to qualified, differently abled individuals. If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please email [email protected]. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. Disclosure of Sensitive Personal Data Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.

Requirements

• 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.

Nice To Haves

• Accountability
• Accountability
• Action Planning
• Active Learning
• 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

Responsibilities

• 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.

Benefits

• 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.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees