AI Architect

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Job description

Overview:
Why GMF Technology?

GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization - we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are data junkies and trust in data and insights to advance our business objectives. We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world. We are building global platforms, in LATAM, Europe, China, U.S. and Canada - and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business.

Overview

As an AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems.

Responsibilities:
What makes you an ideal candidate?

You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture

Your main responsibilities entail owning the implementation and deployment of AI models and systems

Collaborate with product managers, data scientists, software engineers, and other customers to understand business goals and determine AI requirements

Design and develop AI architectures, frameworks, and algorithms that can support large-scale and sophisticated AI solutions using Retrieval augmented generation (RAG), Contextual AI, Prompt Engineering etc.

Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability

Own the development and implementation of AI models, ensuring consistency to standard processes in machine learning and deep learning

Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes

Optimize AI models and systems for performance, scalability, and efficiency

Conduct regular code reviews and provide technical guidance to junior members of the team

Stay up to date with the latest advancements in AI technologies, frameworks, and algorithms, and find opportunities for their application in the organization

Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments

Qualifications:
Experience

2-4 years experience as an Architect with a proven track record of implementing innovative solutions and delivering business values required

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Proven experience (3+ years) working as an AI architect, data scientist, or related role.

Strong knowledge of machine learning, deep learning, and natural language processing (NLP) techniques.

Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).

Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.

Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.

Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.

Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.

Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.

Knowledge of ethical considerations and responsible AI practices is a plus.

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.

Compensation: Competitive pay and bonus eligibility

Work Life Balance: Flexible hybrid work environment, 2-days a week in office

NOTE- At this time we are unable to provide Visa sponsorship for this position

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