“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 clear documentation, runbooks and architectural diagrams
Required Qualifications
- You have a bachelor’s degree in computer science, Engineering or a related technical field or relevant experience.
- You have 5+ years of general platform technology build experience or large, distributed systems
- You have 3+ years of experience building, operating AI/ML platforms
- You possess hands-on experience with MLOps tools and ML frameworks
- You are well versed in vector databases and knowledge graph technologies
- You have familiarity with agentic AI frameworks and orchestration tools
- You have experience designing and implementing solutions based on the Model Context Protocol (MCP) and AI Gateway patterns
- You have proficiency in Python and/or other languages commonly used in AI/ML engineering
- You have experience with cloud platforms and container orchestration
- You have an understanding of AI observability, model monitoring, and responsible AI practices
- You have experience implementing security, privacy, and compliance controls in AI/ML environments
Preferred Qualifications
- Experience in regulated industries (e.g., financial services) and navigating governance, risk, and compliance for AI
- Familiarity with AI-specific observability tools
- Experience with agent orchestrators, agent-to-agent communication, and multi-agent systems
- Exposure to AI guardrails and responsible AI frameworks (e.g., explainability, bias detection)
- Experience with cost optimization and FinOps for AI/ML workloads
- Familiarity with Agile and DevSecOps practices in AI/ML environments
“I can apply in less than 4 minutes.”
You’ve reviewed this job posting and you’re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn’t what you’re looking for, check out our other opportunities and join our talent community.
“I can learn more about Capital Group.”
At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.
Charlotte Base Salary Range: $136,749-$218,798
In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.
You can learn more about our compensation and benefits here.
* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.
We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.
Skills Required
- Bachelor's degree in computer science, Engineering or a related technical field or relevant experience
- 5+ years of general platform technology build experience or large, distributed systems
- 3+ years of experience building, operating AI/ML platforms
- Hands-on experience with MLOps tools and ML frameworks
- Well versed in vector databases and knowledge graph technologies
- Familiarity with agentic AI frameworks and orchestration tools
- Experience designing and implementing solutions based on the Model Context Protocol and AI Gateway patterns
- Proficiency in Python and/or other languages commonly used in AI/ML engineering
- Experience with cloud platforms and container orchestration
- Understanding of AI observability, model monitoring, and responsible AI practices
- Experience implementing security, privacy, and compliance controls in AI/ML environments
Capital Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Capital Group and has not been reviewed or approved by Capital Group.
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Retirement Support — Retirement support stands out through an employer-funded contribution equal to about 15% of eligible compensation, adding meaningful long-term value to total rewards. A vesting schedule is referenced, but the core retirement benefit is positioned as unusually rich and frequently highlighted as a differentiator.
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Strong & Reliable Incentives — Incentives are structured around two annual bonuses—one tied to individual performance and another linked to company profitability—creating a predictable bonus framework. In certain senior investment roles, bonus opportunity can be very high relative to base pay, reinforcing the upside for top performers.
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Inclusive Benefits Coverage — Inclusive coverage is emphasized through fertility benefits (including IVF and egg freezing), pregnancy and menopause support, and adoption/surrogacy assistance. These benefits broaden applicability across different life stages and family-building paths.
Capital Group Insights
What We Do
Capital Group is one of the largest and most trusted financial companies in the world, with the goal of improving people's lives through successful investing. A career at Capital Group means having countless opportunities to explore, grow and succeed.
Why Work With Us
Capital Group has been in business for 91 years, which means that our investment professionals have 91 years of proprietary data at their fingertips.








