AI/ ML Solutions Architect- Remote at Ford Motor Company (Detroit, MI)

| Detroit, MI
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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 seeking an AI/ML SME Architect for our Product Team as we are developing our Mach1 Machine Learning platform. This technical solution architect will be proactively and consistently engaged with GDIA IT Business Teams to support delivery of a framework to enable Artificial Intelligence applications and Machine Learning for the enterprise.
What you'll be able to 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 Hadoop and Kubernetes, and GCP environments in influencing strategy of design of the Mach1ML platform and underlying MLOps processes to support democratized machine learning.
  • Awareness of AI tools/libraries/supporting infrastructures such as Python, Python Notebooks, Tensor flow, Vertex AI, Kubeflow, Kubernetes, CaaS, PCF, 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.

The minimum requirements we seek:
  • 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, Pivotal Cloud Foundry, AWS or similar is acceptable

Our preferred qualifications:
  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Experience with crafting high-availability, high-volume, 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.
  • Understands containerization strategies and Kubernetes based infrastructures.
  • Proven architecture and operational experience in various environments like PCF, 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 cross-departmentally
  • Strong collaborator - willingness to share ideas, documentation, and standard methodologies
  • Experience integrating with other IT Systems (Financial Systems, Reporting, Project Management, etc.)

What you'll receive in return:
As part of the Ford family, you'll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You'll also experience exciting opportunities for professional and personal growth and recognition.

If you have what it takes to help us redefine the future of mobility, we'd love to have you join us!
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. Visa sponsorship is available for this position.

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.
For information on Ford's salary and benefits, please visit:

At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combatting COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.

More Information on Ford Motor Company
Ford Motor Company operates in the Automotive industry. The company is located in Dearborn, MI and Palo Alto, CA. Ford Motor Company was founded in 1903. It has 175633 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 152 open jobs at Ford Motor Company, click here.
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