GenAI Lead Developer

Job description

GenAI Lead Developer

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 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 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:

   

Join the IT-AI team to help drive productivity by leveraging the power of foundation and custom LLM models. This role will drive the implementation of GenAI use cases across the company by ensuring we leverage the best-in-class models, frameworks, and techniques. You will work directly with teams across HPE around model performance evaluations, developing demos and proof-of-concepts of GenAI end applications / use cases with large models.

Technical depth as well as business experience is necessary to articulate the potential and challenges of GenAI models and applications to both engineering teams and business users.

This is an opportunity to be at the forefront of technological transformations, as a key technical leader. You will help develop & grow the GenAI strategy at HPE.

About the Job:

·  Use-Case Implementation: Prototype and build solutions to drive employee & team productivity. Deploy GenAI workloads on Azure stack and integrate with systems.
·  Prompt Engineering: Craft effective prompts and instructions to guide models towards desired outputs, ensuring coherence, factual accuracy, and alignment with ethical considerations.
·  Model Optimization: Leverage techniques like RAG, Fine tuning to optimize models.
·  Output Evaluation and Refinement: Assess the quality and safety of generated content, identify, and mitigate biases, and refine outputs for specific applications.
·  Collaboration and Communication: Work closely with engineers and business pods to define project goals, interpret results, and communicate complex technical concepts to diverse stakeholders.
·  Staying Ahead of the Curve: Proactively monitor the latest advancements in Generative AI research, identify and evaluate new techniques, and contribute to the continuous improvement of the team's capabilities.
·  Mentor: Coach broader HPE team members on the latest GenAI landscape and techniques.

About You:

·  Deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.
·  Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications.
·  Experience with data engineering techniques and different platforms including vector DB & knowledge graphs.
·  Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python.
·  Experience training large models across compute types and developing applications powered by GenAI models.
·  Experience with prompt engineering and the ability to craft effective prompts for various applications.
·  Familiarity with ethical considerations in AI development and deployment.
·  Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
·  Ability to work alone and as part of a team in a fast-paced environment.
·  Experience with cloud computing platforms like AWS, Azure, or GCP.
·  Experience in training and optimizing Generative AI models (GANs, VAEs, diffusion models, etc.) is a plus.
·  Hands-on understanding of deep learning, loss functions, and optimization techniques and other ML algorithms and infrastructure is a plus.

Additional Skills:
Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Bias, Business, Coaching, Creativity, Critical Thinking, Cybersecurity, Data Analysis Management, Data Collection Management, Data Controls, Design Thinking, Development Methodologies, Empathy, Follow-Through, Growth Mindset, Implementation Methodologies, Infrastructure Design, Intellectual Curiosity, Long Term Planning, Managing Ambiguity {+ 4 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:

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#technologyandsoftware

Job:
Information Technology

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: $113,000.00 - $259,500.00

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. .