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Senior AI/ML Cloud Engineer

• Posted 5 days ago • Updated 5 days ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Machine Learning (ML)
Scalability
Optimization
Knowledge Sharing
DevOps
Amazon SageMaker
Step-Functions
Amazon S3
Vertex
Scripting
Python
Continuous Integration
Continuous Delivery
Management
Git
GitHub
Terraform
Artificial Intelligence
Large Language Models (LLMs)
Provisioning
Generative Artificial Intelligence (AI)
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Technical Support
System Integration
Development Testing
Cloud Computing
Production Support
Change Control
Documentation
Systems Analysis
System Requirements
Training
Finance
Collaboration

Summary

{"description": " In This Role You Will:

Design, develop, and maintain Generative AI platforms across multiple cloud providers (e.g., AWS, Azure, and Google Cloud Platform), 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, Google Cloud Platform 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 Google Cloud Platform

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.", "salary_raw": "Row(double=None, string=None)"}

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24109073
Posted 5 days ago

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