AI Platform Engineer IV

“I can be myself at work.”

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.  

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. 

“I can influence my income.” 

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. 

“I can lead a full life.” 

You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success. 

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options 

• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love 

• Access on-demand professional development resources that allow you to hone existing skills and learn new ones 

“I can succeed as an AI Platform Engineer at Capital Group.”

As an AI Platform Engineer, you will design, build, and operate the foundational components of Capital Group’s enterprise AI platform, enabling secure, scalable, and responsible development and deployment of advanced AI and agentic solutions. You will work across the full stack—from data ingestion and vector databases to orchestration, agent frameworks, and user-facing APIs—empowering teams to deliver innovative AI-powered experiences.

You will collaborate with security, FinOps, and engineering peers, as well as data scientists and ML engineers, to deliver robust, enterprise-ready AI capabilities. Your work will span the integration of cloud-native services, orchestration frameworks, agentic architectures, and responsible AI guardrails. You will play a critical role in the design and implementation of solutions based on the Model Context Protocol (MCP) and AI Gateway patterns.

“I am the person Capital Group is looking for.”

You can build and maintain AI platform services:

• Develop data ingestion pipelines, feature stores, and ML workflows
• Integrate vector databases, knowledge graphs, and model registries with governance
• Implement automated ML-Ops pipelines for training, evaluation, and deployment
• Design model serving infrastructure for real-time and batch inference and orchestrate agentic workflows using modular, extensible frameworks
• Enable agentic workflows and secure connectivity using MCP and AI Gateway patterns
• Integrate with agent orchestrators and support for agent-to-agent communication protocols

You ensure observability and responsible AI:

• Monitor model performance, data quality, and lineage
• Implement logging, alerting, and rollback mechanisms
• Apply explainability, fairness, and compliance guardrails

You have experience with embedding security and compliance:

• Integrate encryption, IAM, and audit logging
• Support compliance with regulatory and internal policies (e.g., GDPR, SOC 2, Responsible AI frameworks)
• Partner with InfoSec and data governance teams to ensure safe and compliant use of data and models

You drive operational excellence:

• Apply SRE and FinOps practices for reliability and cost optimization
• Automate infrastructure provisioning with IaC

You collaborate and enable teams:

• Partner with data scientists and engineers to deliver platform solutions
• Develop APIs, SDKs, and self-service tools for rapid experimentation
• Produce clea