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Mufgamericas

Senior Artificial Intelligence Infrastructure Engineer - VP

Mufgamericas, Phoenix, Arizona, United States,


Senior Artificial Intelligence Infrastructure Engineer - VP

Do you want your voice heard and your actions to count?Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 7th largest financial group in the world. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.Job Overview:

We are seeking an AI Infrastructure Engineer with a deep technical understanding of creating and maintaining infrastructure for newly adopted AI platforms. The ideal candidate will work closely with senior AI programmers to deploy and manage new AI platforms, ensuring their optimal performance and integration into our existing systems. As a key member of our core engagement team, this individual will be responsible for orchestrating the efforts of architects, engineers, and developers to conceive, design, and construct AI platform solutions, as well as adeptly navigating project impediments as they emerge.Responsibilities:Design and implement infrastructure solutions for AI platforms, ensuring scalability, reliability, and security.Collaborate with senior AI programmers to understand AI model requirements and deploy them efficiently.Maintain and optimize AI platform infrastructure to support the development and deployment of AI applications.Develop automation tools and frameworks to streamline the deployment and management of AI platforms.Monitor AI platforms and infrastructure to proactively address issues and ensure continuous availability.Document infrastructure design, maintenance procedures, and best practicesRequired Skills:Minimum of 5 years of experience in infrastructure engineering, with a focus on AI or machine learning platforms.Strong knowledge of cloud computing services, containerization technologies, and orchestration tools.Experience with infrastructure as code (IaC) and automation tools such as Terraform, Ansible, or Kubernetes.Familiarity with AI development tools and frameworks like TensorFlow, PyTorch, or Keras.Excellent problem-solving abilities and a strong attention to detail.Education:Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field and/or equivalent work experience equally preferable.Other Qualifications:As per MUFG’s work policy, must work onsite 4 days and 1 day remotely from either Tampa, FL or Tempe, AZ (Tempe is highly preferred).The typical base pay range for this role is between $155K - $185K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.MUFG Benefits SummaryThe above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified. We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.

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