Experienced AI Engineer for Storage Domain
MistThis role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
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:
Data Intelligence Job Description
In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.
HPE Alletra Storage MP X10000, a new product release, unleashes the power of the unstructured data with data intelligence, enterprise performance at scale, and simple to manage object storage to drive innovation and accelerate time to value. HPE Alletra X10000 is our flagship Object storage Platform that got released November 2024. This product line powers many of customers AI first use-cases tapping Data Intelligence from their Storage systems.
What you'll do:
Responsibilities-
Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit.
Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform.
Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses.
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
Translating technical AI findings into clear, business-oriented language for non-technical stakeholders to support AI-driven business strategies.
Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities, ensuring high accuracy and efficiency.
Develop custom plugins, adapters, or APIs to integrate retrieval systems (e.g., Elasticsearch) with generative models, facilitating seamless information retrieval.
Fine-tune and optimize large language models, enhancing their performance and adaptability to domain-specific requirements.
Monitor and troubleshoot issues within pipelines, fine-tuning retrieval parameters and model hyperparameters to optimize performance.
Evaluate and benchmark the performance of vector databases and collaborate with data scientists and software engineers to integrate vector search capabilities into production systems.
Evaluate and benchmark the performance of solutions, using metrics such as response accuracy, latency, and user satisfaction.
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation.
Demonstrate innovative AI use-cases, conducting workshops and training sessions, technical paper and patent presentations to foster AI adoption
Guiding and mentoring junior AI engineers, helping them develop their skills and knowledge in the field.
Adhere to the policies and procedures related to AI governance to ensure compliance with legal and ethical standards.
Keeping abreast of the latest industry trends, tools, and technologies in AI to continually improve the AI capabilities of the organization.
Required skills and qualifications
Experience designing and developing software systems design tools and languages in storage/server/networking area.
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, TensorFlow, Python, NLP
Experience in program leadership, governance, and change enablement
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Experience with innovation accelerators
What you need to bring:
Bachelor's or master's degree in computer science, Information Systems, or equivalent.
Typically, 6 to 10 years' experience.
Additional Skills:
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.
Job:
EngineeringJob Level:
TCP_03
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.
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