Summary
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. GenAI team is looking for an extraordinary Solutions Engineer to join our team. You will help design and implement our Enterprise GenAI strategy to take our Enterprise platforms to the next level. We will be collaborating and working with multi- functional teams and applying solutions to large-scale data and business use cases.

Key Qualifications
5+ years of industry experience being hands-on in application development in at least one prominent programming language: Java, Python or Go.

2+ years of experience building applications using AI development services on prominent cloud platforms such as AWS Sagemaker, Google Vertex AI

1+ years of experience working with Generative AI development, embeddings, fine tuning of Generative AI models

Experienced with Machine Learning frameworks such as TensorFlow or PyTorch

Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security

Description
Assess and evaluate existing Generative AI models, identifying strengths, weaknesses, and areas for improvement.

Lead the development of GenAI POCs to demonstrate feasibility, potential business impact and cost ROI. Build tools to help bootstrap internal teams leverage GenAI into their products.

Work closely with business stakeholders to understand their requirements and translate them into architectural solutions.

Provide expert guidance on GenAI architectures, engineering best practices and data governance/privacy ensuring solutions are scalable, flexible and aligned with organizational goals

Stay abreast of the latest advancements in AI technologies, finding opportunities for innovation and improvement. Evaluate emerging tools, frameworks and methodologies to enhance architecture and development processes.

Education & Experience
BS in data science or comp science; Masters preferred or equivalent industry experience

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