AI/ML Solution Architect Full-time

Job Description

In this position…

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

As a key member of our Information Technology group, you’ll play a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Ford is embarking on an exciting journey into the world of Artificial Intelligence and Machine Learning, and we need a skilled architect to guide the way! We are actively developing our capabilities in Large Language Models, Computer Vision, and Machine Learning platforms, and we need a passionate AI/ML SME Architect to support our Product Teams.

This technical solution architect will be proactively and consistently engaged with GDIA IT & Business Teams to support delivery of a framework to enable Large Language Model solutions, Artificial Intelligence applications, and Machine Learning for the enterprise.

Responsibilities

What you’ll do…

• The AI/ML Architect will participate in strategy development, requirements analysis, various PDO team sessions supplying communication of standards, new technology needs assessments, discovery work based on capability gaps as well. Additional responsibilities include engagement with Technical Anchors, backlog planning, and technology planning to support current/future release activities
• Employ Architectural knowledge related to AI and ML as well as standard DevOps pipelines to assist with Data Science objectives in terms of developing a democratized and re-usable ML platform in Google Cloud Platform (GCP)
• Awareness and implementation of standard DevOps tools such as Git, Tekton, Docker (containerization), CI/CD pipelines. Familiarity with data tools and compute platforms such as Kubernetes, and GCP environments in influencing strategy of design of the Mach1ML platform and underlying MLOps processes to support democratized machine learning.
• Awareness and implementation of Generative AI technologies, strategies and concepts.
• Awareness of AI tools/libraries/supporting infrastructures such as: Lang Chain, Stable Diffusion, Python, Python Notebooks, Tensor flow, Vertex AI, Kubeflow, Kubernetes, CaaS, PyTorch and XGBoost to enable long term sustainable capabilities in the Mach1ML platform.
• Knowledge of package and container repositories (e.g., Nexus/Portas/Quay).
• Stay on top of industry developments in AI and ML solutions, Kubernetes, API strategies and micro-services, Streaming platforms such as Kafka, etc. to be able to provide sustainable Architectural mentorship on resolving capability gaps and addressing new customer requirements.
• Provide architectural mentorship and recommends appropriate technologies and application to be used to enable strategic data management, model management, and risk considerations to ensure Mach1ML platform is scalable, reliable, and performant.
• Engage with Product Owners, Product Managers, Technical Anchors and other PDO team SME’s- acting in a consultative capacity to advise, recommend, strategize, and contribute to delivery landmarks. Maintain open channels of communication by providing relevant information, technical expertise, and recommended standard methodologies.
• Maintain and disseminate awareness of:
  • Technology roadmaps regarding architecture related deliverables, new technologies to support platform goals as well as discovery work needed to support new capability assessments.
  • Knowledge of architecture standards as well as how those standards relate to PDO teams and their delivery work.

Qualifications

You’ll have…

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
• 5+ years of experience working in large-scale, diverse IT environments
• 3+ years of IT architecture experience
• 2+ years of AI/ML experience (including internship/co-op/course work)
• 2+ years of Cloud Experience- Google Cloud Platform preferred; Google Kubernetes Engine, Azure, AWS or similar is acceptable

Even better, you may have…

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field Experience with crafting high-availability, highvolume, low-latency technologies
• Previous experience, operating at a senior level, on multiple or large-scale projects and incorporating all levels of architecture development
• Ability to lead and identify business requirements and resolve operational impacts and system changes to meet the business objectives
• Provide leadership direction and accountability for strategic application architecture plans, system design, and implementation
• Ability to collaborate with architects and technology delivery team to define architectural approaches and solutions.
• Understanding of Generative AI and Large Language Model associated design / implementation patterns.
• Understands containerization strategies and Kubernetes based infrastructures.
• Proven architecture and operational experience in various environments like OpenShift (CaaS), Google Cloud Platform (GCP), Kubernetes, as well as open-source products in the dev ops and ML space.
• Knowledge of infrastructure as code for deployment, such as Terraform.
• Strong leadership, project and team building skills – ability to lead teams and drive projects and initiatives by working effectively with others with a proven track record to work crossdepartmentally
• Strong collaborator – willingness to share ideas, documentation, and standard methodologies
• Experience integrating with other IT Systems (Financial Systems, Reporting, Project Management, etc.)

*Visa sponsorship NOT available for this position.

You may not check every box, or your experience may look a little different from what we’ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

This position is a range of salary grades 7-8 .

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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