Senior AI/ML Cloud Engineer

Posted 20 Hours Ago
2 Locations
In-Office
5-5 Annually
Senior level
Fintech
The Role
The Senior AI/ML Cloud Engineer will design, develop, and maintain Generative AI platforms across cloud providers, monitor performance, and support users. Responsibilities include collaborating with teams, troubleshooting issues, and mentoring junior staff.
Summary Generated by Built In

In This Role You Will:

  • Design, develop, and maintain Generative AI platforms across multiple cloud providers (e.g., AWS, Azure, and GCP), including supporting infrastructure and tooling.
  • Contribute to the development of our AI platform, ensuring scalability, reliability, and efficiency; support full-stack applications used to manage the platform.
  • Monitor platform performance and implement optimization strategies.
  • Present proofs of concept, demonstrate solutions to stakeholders, and partner with project managers, engineering managers, architects, and application teams.
  • Stay current with industry trends and advancements in Generative AI and agentic technologies; document processes, issues, and solutions to support knowledge sharing.
  • Prepare for future initiatives to enable new AI capabilities within the enterprise platform.
  • Provide support to platform users by troubleshooting issues, collaborating cross-functionally, delivering enhancements, and responding to inquiries.
  • Collaborate closely with cross-functional teams including product managers and technical leads to define and achieve platform goals.

Our Tech Stack:

We welcome candidates from diverse backgrounds who are passionate about AI and DevOps. Technologies you may work with include:

  • AWS Services: Bedrock, Bedrock AgentCore, SageMaker, CloudFormation, Lambda, Step Functions, IAM, S3, CloudWatch
  • Other Cloud Platforms: Microsoft Azure OpenAI, GCP Vertex
  • Programming & Scripting: Python
  • CI/CD & Code Management: Git, GitHub, GitHub Actions
  • Bonus Skills:
    • Terraform
    • Experience developing and deploying AI agents, large language model (LLM) integrations, and retrieval-augmented generation (RAG) techniques
    • Experience provisioning Generative AI cloud services on AWS, Azure, and/or GCP

Core Responsibilities

  • Design, implement, and deploy cloud platforms to meet business needs. Identify, recommend, and implement improvements and solutions to performance issues.
  • Provide advanced technical support and ensure reliable operation of cloud production environments. Troubleshoot software systems across multiple cloud platforms and support system integration. Maintain comprehensive technical knowledge of software and infrastructure platforms.
  • Develop technical standards. Test and evaluate IT vendor products. Review configuration parameters to optimize system performance and maximize uptime.
  • Promote code through development, test, and cloud production environments on schedule. Provide follow-up production support. Submit change-control requests and maintain required documentation.
  • Learns and understands client area business functions and requirements. Determines the appropriate technical tool to address the client's business needs.
  • Trains and mentors more junior staff on processes and releases. Troubleshoots and resolves complex issues elevated from staff. Provides guidance and consultation as required. Updates, writes, and maintains documentation for the department.
  • Administer system activities. Writes the technical portion of assigned deliverables. Performs systems analysis, including system requirements analysis and definition, and logical design.
  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Minimum of five years related work experience.
  • Undergraduate degree in a related field or the equivalent combination of training and experience.

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.

Top Skills

AWS
Azure
GCP
Git
Git
Github Actions
Python
Terraform
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The Company
Charlotte, NC
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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