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Vanguard

Cloud Engineer, Specialist

Vanguard is hiring a Cloud Engineer, Specialist. Level rates it ; you can apply on Vanguard.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions visa sponsorship.
  • The posting mentions SageMaker, AWS and Python among its tools and skills.
  • Vanguard has 365 other open roles on Level.

AI in this role

Build and support cloud infrastructure, CI/CD pipelines, and observability for AI/ML platform services.

sagemakerawspythonkuberneteseksecslambdaarize
ml-opsci-cdmlopscloud-infrastructureobservability

As an AI/ML Platform Engineer, you will build and support the cloud infrastructure, deployment pipelines, and observability capabilities that enable reliable delivery of AI and machine learning solutions. You will work with engineering partners to create scalable platform services, improve operational performance, and support models throughout their lifecycle. This role combines AWS platform engineering, CI/CD automation, and production support within a sprint-based delivery environment.

This Hybrid Role (in office Tues-Wed-Thurs) is based in Malvern, PA (HQ)


Responsibilities:

  • Build and support CI/CD pipelines for deploying and managing AI/ML models.
  • Implement and maintain AI observability capabilities using Arize.
  • Develop and support scalable platform services in AWS.
  • Create platform solutions using Python and applicable AWS and container technologies, including Kubernetes, EKS, ECS, Lambda, and SageMaker.
  • Monitor platform performance and resolve reliability, scalability, and operational issues.
  • Automate repeatable deployment, monitoring, and support processes.
  • Collaborate with engineering and AI/ML teams to translate platform needs into technical solutions.
  • Deliver prioritized work through sprint planning, development, testing, and implementation.
  • Participate in a rotating production support schedule.

Education & Experience:

  • 3+ years of related experience in platform engineering, cloud engineering, DevOps, MLOps, software engineering, or a comparable technical field.
  • Undergraduate degree in a related field or an equivalent combination of training and experience.
  • Experience building or supporting CI/CD pipelines.
  • Experience developing or maintaining services in AWS.
  • Experience using Python for automation, platform services, or application development.
  • Experience working with Kubernetes or AWS container services such as EKS or ECS.
  • Experience with AI/ML deployment, SageMaker, Lambda, or model observability tools such as Arize, preferred.

Special Factors:

  • Participation in a rotating production support schedule is required.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

How we rate this

Cloud Engineer, Specialist at Vanguard rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsCI/CDMLOpsCloud InfrastructureObservabilitySageMakerAWSPython

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where ci/cd was part of your work. What did you do?
  3. Tell me about a project where mlops was part of your work. What did you do?
  4. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  5. Tell me about a project where observability was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, CI/CD, MLOps, Cloud Infrastructure, and Observability. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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